How to Think Like a Computer Scientist: Learning with Python
How to Think... is a free textbook available under the GNU Free Documentation License. Readers are free to copy and distribute the text; they are also free to modify it, which allows them to adapt the book to different needs, and to help develop new material
Data Structures and Algorithms with Object-Oriented Design Patterns in Python
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The Standard Python Library
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Learn to Program Using Python
Python happens to be a nice language to learn. Its syntax is simple and it has some very powerful features built into the language. It supports lots of programming styles from the very simple through to state of the art Object Oriented techniques. It runs on lots of platforms - Unix/Linux, MS Windows, Macintosh etc. It also has a very friendly and helpful user community. All of these are important features for a beginner's language.
A Byte of Python
This book will help you to learn the Python programming language, whether you are new to computers or are an experienced programmer.
Impatient Perl
n the mid 1980s, Larry Wall was working as a sys-admin and found that he needed to do a number of common, yet oddball functions over and over again. And he did not like any of the scripting languages that were around at the time, so he invented Perl. Version 1 was released circa 1987. A few changes have occurred between then and now. The current version of Perl has exceeded 5.8.0 and is a highly recommended upgrade.
Python Programming Tutorial
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Generating Dynamic documents from templates with python
Most of the cgi programs have the html text within themselves, thus making
cgi programs larger, less comfortable to view, difficult to go through the code.
The ideal situation would be separating html text from the program.
Developing Gnome Application with Python
This series of articles is especially written for beginner in Gnome programming and GNU/Linux.
A Primer on Python Metaclass Programming
This series of articles by David Mertz assumes readers have a familiarity with basic object-oriented programming concepts: inheritance, encapsulation, and polymorphism. We pick up where the basics leave off; how some 'exotic' techniques can make applied programming tasks easier, more maintainable, and just plain more elegant. This series will primarily present examples in Python, but the concepts apply to other programming languages too.
Text Processing in Python - Free eBook Text Processing in Python - Download ebook Text Processing in Python free
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