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Books : Computing & Internet : Web Development : Web Scripting & Programming : Languages & Tools : Scripting : Python
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The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems and a preference for learning by semi-guided experimentation.First off, Learning Python shows the relationships among Python scripts and their interpreter (in a mostly platform-neutral way). Then, the authors address the mechanics of the language itself, providing illustrations of how Python conceives of numbers, strings and other objects as well as the operators you use to work with them. Dictionaries, lists, tuples and other data structures specific to Python receive plenty of attention including complete examples.
Authors Mark Lutz and David Ascher build on that fundamental information in their discussions of functions and modules, which evolve into coverage of namespaces, classes and the object-oriented aspects of Python programming. There's also information on creating graphical user interfaces (GUIs) for Python applications with Tkinter.
In addition to its careful expository prose, Learning Python includes exercises that both test your Python skills and help reveal more elusive truths about the language.
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Completely revised and improved, the second edition of Programming Python is an excellent compendium of material geared toward the more knowledgeable Python developer, including dozens of reusable scripts for common scripting tasks. It is one of the best available sources of information for this popular object-oriented scripting language.In over 1,200 pages of material, this book offers an extremely comprehensive guide to Python development. Though densely packed with information, Lutz is a lively and witty writer whose focus is on getting things done using the natural strengths of the Python language. To that end, after an introduction and history of the language, the book describes how to use Python for performing automated tasks with files and directories (for example, for doing backups, both locally and on Web servers). Not only will this book teach you more about Python, it will also give you a library of code that you can use as is, or adapt for your own projects.
The text covers every conceivable facet of Python and its support for networking, files and directories, task management and even persistence (through its support for shelves). Complete Python programs show how to create e-mail clients, do reporting, and create Web applications (for an online errata database). Chapters on doing graphics programming in Python, as well as coverage of both built-in and custom data structures, are especially good. Because Python is often used for automating installations (in some Linux distributions, for instance), readers will appreciate the sample code and tips for using Python to create bulletproof installs.
Later sections show how get Python to work with C, Java (through JPython) and other languages. The book concludes with useful reference sections summarising key aspects of Python, such as its revision history, relationship to C++ and other material. There aren't many titles on Python, and fans of this up-and-coming language are lucky to have such a solid tutorial and guide available in Programming Python. Perfect for those with just a little previous exposure to the language, it's all you need to master Python in depth and tap its considerable power for virtually any software project. --Richard Dragan
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The authors of Learning Python show you enough essentials of the Python scripting language to enable you to begin solving problems right away, then reveal more powerful aspects of the language one at a time. This approach is sure to appeal to programmers and system administrators who have urgent problems and a preference for learning by semi-guided experimentation.First off, Learning Python shows the relationships among Python scripts and their interpreter (in a mostly platform-neutral way). Then, the authors address the mechanics of the language itself, providing illustrations of how Python conceives of numbers, strings and other objects as well as the operators you use to work with them. Dictionaries, lists, tuples and other data structures specific to Python receive plenty of attention including complete examples.
Authors Mark Lutz and David Ascher build on that fundamental information in their discussions of functions and modules, which evolve into coverage of namespaces, classes and the object-oriented aspects of Python programming. There's also information on creating graphical user interfaces (GUIs) for Python applications with Tkinter.
In addition to its careful expository prose, Learning Python includes exercises that both test your Python skills and help reveal more elusive truths about the language.