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Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because: It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS; It is open-source software, copyrighted but freely available for use, even in commercial applications; Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers; It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif. This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. All the examples use the Python interpreter.
The Python Developer's Handbook is designed to expose experienced developers to Python and its uses. Beginning with a brief introduction to the language and its syntax, the book moves quickly into more advanced programming topics, including embedding Python, network programming, GUI toolkits, JPython, Web development, Python/C API, and more. Python is an interpreted, object-oriented programming language. Its syntax is simple and easy to learn, and it encourages programmers to write and think clearly. The Python Developer's Handbook is carefully written, well-organized introduction to this powerful, fast-growing programming language for experienced developers. A handbook for experienced developers, introducing the powerful object-oriented programming language, Python. Includes an introduction to language and syntax, moving quickly into advanced topics such as GUI toolkits, Web development, Python/C API, and embedding Python.
Python isn't just a tool for creating short Web scripts and simple prototypes: its advantages are equally compelling in large-scale development. In Python Programming Patterns, Thomas Christopher shows developers the best ways to write large programs with Python, introducing powerful design patterns that deliver unprecedented levels of robustness, scalability, and reuse. Christopher teaches both the Python programming language and how to "program in the large" with Python, using objects, modularization, toolkits, frameworks, and other powerful tools and techniques. 20+ proven object-oriented patterns for large-scale Python development: creational, structural, and behavioral. Leverage the skills you've mastered in other object-oriented languages. Design Python systems for maximum reuse. Make the most of persistence, concurrent programming, functional programming, and metaprogramming. Create cleaner, more comprehensible software systems.