ustar/conttype0000644000175000001440000001554307606136617015171 7ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ustar/regtype0000644000175000001440000001554307606136617014774 0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ustar/dirtype/0000755000175000001440000000000007606136617015042 5ustar00tarfiletarfile00000000000000ustar/dirtype-with-size/0000755000175000001440000000037707606136617017004 5ustar00tarfiletarfile00000000000000ustar/lnktype0000644000175000001440000000000007606136617017520 1ustar/regtypeustar00tarfiletarfile00000000000000ustar/symtype0000777000175000001440000000000007606136617016416 2regtypeustar00tarfiletarfile00000000000000ustar/blktype0000660000175000001440000000000007606136617014752 4ustar00tarfiletarfile00000030000000ustar/chrtype0000666000175000001440000000000007606136617014764 3ustar00tarfiletarfile00000010000003ustar/fifotype0000644000175000001440000000000007606136617015126 6ustar00tarfiletarfile00000000000000ustar/sparse0000644000175000001440000025000007606136617014577 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0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/1234567/longname0000644 0001750 0000144 00000015543 07606136617 045233 0ustar00tarfiletarfile0000000 0000000 ustar/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345/12345Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ./ustar/linktest2/symtype0000777000175000001440000000000007606136617021323 2../linktest1/regtypeustar tarfiletarfileustar/linktest1/regtype0000644000175000001440000001554307606136617015412 0ustar tarfiletarfileForeword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ./ustar/linktest2/lnktype0000644000175000001440000000000007606136617022347 1./ustar/linktest1/regtypeustar tarfiletarfilesymtype20000777000175000001440000000000007606136617016500 2ustar/regtypeustar00tarfiletarfile00000000000000././@LongLink0000000000000000000000000000100100000000000011555 Lustar rootrootgnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longnamegnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/0000644000175000001440000001554307606136617022717 0ustar tarfiletarfileForeword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ././@LongLink0000000000000000000000000000100100000000000011554 Kustar rootrootgnu/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname././@LongLink0000000000000000000000000000100100000000000011555 Lustar 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0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/regtype-old-v7 644 1750 144 15543 7606136617 007662 Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/regtype-hpux-signed-chksum-ÄÖÜäöüß00006440001750000014400000015543076061366170200420ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/regtype-old-v7-signed-chksum-ÄÖÜäöüß 644 1750 144 15543 7606136617 012151 Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/dirtype-old-v7/ 40755 1750 144 0 7606136617 007667 misc/regtype-suntar01006440000145000001200000000036105507146700020273Xustar00larsstaff00000400000017/tmp/PaxHeaders.37830 mtime=1041808783.000000000 misc/regtype-suntar010064400017500000144000000155431055071467000161110ustar00tarfiletarfile00000400000017Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/regtype-xstar0000644 0001750 0000144 00000015543 07606136617 0020313 0ustar00larsusers0000000 0000000 07606136617 07606136617 tarForeword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ././@PaxHeader0000600 0000000 0000000 00000001144 00000000000 0013633 xustar00rootroot0000000 0000000 30 atime=1041808783.000000000 30 ctime=1041808783.000000000 30 mtime=1041808783.000000000 522 path=pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname 123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/0000644 0001750 0000144 00000015543 07606136617 024273 0ustar00tarfiletarfile0000000 0000000 Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ././@PaxHeader0000600 0000000 0000000 00000002162 00000000000 0013634 xustar00rootroot0000000 0000000 30 atime=1041808783.000000000 30 ctime=1041808783.000000000 30 mtime=1041808783.000000000 522 path=pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longlink 526 linkpath=pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/longname 123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/0000644 0001750 0000144 00000000000 07606136617 036232 1pax/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/123/ustar00tarfiletarfile0000000 0000000 pax/PaxHeaders.12814/umlauts-ÄÖÜäöüß0000644000175000001440000000011310550667367017453 xustar000000000000000035 path=pax/umlauts-ÄÖÜäöüß 20 atime=1168337112 20 ctime=1168338674 pax/umlauts-ÄÖÜäöüß0000644000175000001440000001554307606136617017571 0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 /tmp/GlobalHead.26030.10000644000175000001440000000007310552150730012753 gustar000000000000000013 gname=bar 13 uname=foo 33 VENDOR.umlauts=ÄÖÜäöüß pax/regtype10000644000175000001440000001554307606136617014507 0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 /tmp/GlobalHead.23988.10000644000175000001440000000001110552143626012774 gustar00000000000000009 uname= pax/regtype20000644000175000001440000001554307606136617014510 0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 /tmp/GlobalHead.23988.10000644000175000001440000000004210552143626013000 gustar000000000000000017 uname=tarfile 17 gname=tarfile pax/regtype30000644000175000001440000001554307606136617014511 0ustar00tarfiletarfile00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 ././@PaxHeader0000600 0000000 0000000 00000000175 00000000000 013636 xustar00rootroot0000000 0000000 30 atime=1041808783.000000000 30 ctime=1041808783.000000000 30 mtime=1041808783.000000000 11 uid=123 11 gid=123 13 size=7011 pax/regtype40000644 0001750 0000144 00000000000 00000000000 014755 0ustar00tarfiletarfile0000000 0000000 Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 pax/PaxHeaders.16970/bad-pax-äöü0000644000175000017500000000016207606136617015564 xustar000000000000000024 path=pax/bad-pax-äöü 30 mtime=1041808783.000000000 30 atime=1041808783.000000000 30 ctime=1041808783.000000000 pax/bad-pax-äöü0000644000175000017500000001554307606136617014520 0ustar00larslars00000000000000Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 pax/PaxHeader/hdrcharset-äöü000644 000000 000000 00000000304 07606136617 020371 xustar00tarfiletarfile000000 000000 21 hdrcharset=BINARY 27 path=pax/hdrcharset-äöü 30 mtime=1041808783.000000000 30 ctime=1041808783.000000000 30 atime=1041808783.000000000 19 SCHILY.dev=2305 21 SCHILY.ino=268050 18 SCHILY.nlink=1 pax/hdrcharset-äöü000644 000000 000000 00000015543 07606136617 016433 0ustar00tarfiletarfile000000 000000 Foreword for "Programming Python" (1st ed.) As Python's creator, I'd like to say a few words about its origins, adding a bit of personal philosophy. Over six years ago, in December 1989, I was looking for a "hobby" programming project that would keep me occupied during the week around Christmas. My office (a government-run research lab in Amsterdam) would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus). Today, I can safely say that Python has changed my life. I have moved to a different continent. I spend my working days developing large systems in Python, when I'm not hacking on Python or answering Python-related email. There are Python T-shirts, workshops, mailing lists, a newsgroup, and now a book. Frankly, my only unfulfilled wish is to have my picture on the front page of the New York Times. But before I get carried away daydreaming, here are a few tidbits from Python's past. It all started with ABC, a wonderful teaching language that I had helped create in the early eighties. It was an incredibly elegant and powerful language, aimed at non-professional programmers. Despite all its elegance and power and the availability of a free implementation, ABC never became popular in the Unix/C world. I can only speculate about the reasons, but here's a likely one: the difficulty of adding new "primitive" operations to ABC. It was a monolithic, "closed system", with only the most basic I/O operations: read a string from the console, write a string to the console. I decided not repeat this mistake in Python. Besides this intention, I had a number of other ideas for improvement over ABC, and was eager to try them out. For instance, ABC's powerful data types turned out to be less efficient than we hoped. There was too much emphasis on theoretically optimal algorithms, and not enough tuning for common cases. I also felt that some of ABC's features, aimed at novice programmers, were less desirable for the (then!) intended audience of experienced Unix/C programmers. For instance: ABC's ideosyncratic syntax (all uppercase keywords!); some terminology (e.g. "how-to" instead of "procedure"); and the integrated structured editor, which its users almost universally hated. Python would rely more on the Unix infrastructure and conventions, without being Unix-bound. And in fact, the first implementation was done on a Mac. As it turned out, Python is remarkably free from many of the hang-ups of conventional programming languages. This is perhaps due to my choice of examples: besides ABC, my main influence was Modula-3. This is another language with remarkable elegance and power, designed by a small, strong-willed team (most of whom I had met during a summer internship at DEC's Systems Research Center in Palo Alto). Imagine what Python would have looked like if I had modelled it after the Unix shell and C instead! (Yes, I borrowed from C too, but only its least controversial features, in my desire to please the Unix/C audience.) Any individual creation has its ideosyncracies, and occasionally its creator has to justify these. Perhaps Python's most controversial feature is its use of indentation for statement grouping, which derives directly from ABC. It is one of the language's features that is dearest to my heart. It makes Python code more readable in two ways. First, the use of indentation reduces visual clutter and makes programs shorter, thus reducing the attention span needed to take in a basic unit of code. Second, it allows the programmer less freedom in formatting, thereby enabling a more uniform style, which makes it easier to read someone else's code. (Compare, for instance, the three or four different conventions for the placement of braces in C, each with strong proponents.) This emphasis on readability is no accident. As an object-oriented language, Python aims to encourage the creation of reusable code. Even if we all wrote perfect documentation all of the time, code can hardly be considered reusable if it's not readable. Many of Python's features, in addition to its use of indentation, conspire to make Python code highly readable. This reflects the philosophy of ABC, which was intended to teach programming in its purest form, and therefore placed a high value on clarity. Readability is often enhanced by reducing unnecessary variability. When possible, there's a single, obvious way to code a particular construct. This reduces the number of choices facing the programmer who is writing the code, and increases the chance that will appear familiar to a second programmer reading it. Yet another contribution to Python's readability is the choice to use punctuation mostly in a conservative, conventional manner. Most operator symbols are familiar to anyone with even a vague recollection of high school math, and no new meanings have to be learned for comic strip curse characters like @&$!. I will gladly admit that Python is not the fastest running scripting language. It is a good runner-up though. With ever-increasing hardware speed, the accumulated running time of a program during its lifetime is often negligible compared to the programmer time needed to write and debug it. This, of course, is where the real savings can be made. While this is hard to assess objectively, Python is considered a winner in coding time by most who have tried it. In addition, many consider using Python a pleasure -- a better recommendation is hard to imagine. I am solely responsible for Python's strengths and shortcomings, even when some of the code has been written by others. However, its success is the product of a community, starting with the early adopters who picked it up when I first published Python on the net, and who spread the word about it in their own environment. They sent me their praise, criticism, feature requests, code contributions, and personal revelations via email. They were willing to discuss every aspect of Python in the mailing list that I soon set up, and educate me or nudge me in the right direction where my initial intuition failed me. There have been too many contributors to thank individually. I'll make one exception, however: this book's author was one of Python's early adopters and evangelists. With its publication, his longstanding wish (and mine!) of having a more accessible description of Python than the standard set of manuals, is fulfilled. But enough rambling. I highly recommend this book to anyone interested in learning Python, whether for personal improvement or as a career enhancement. Take it away, Eric, the orchestra leader! (If you don't understand this last sentence, you haven't watched enough Monty Python reruns.) Guido van Rossum Reston, VA, May 1996 misc/eof0000644000175000001440000000000007606136617012341 0ustar tarfiletarfile