Beginning Python: Using Python 2.6 and Python 3.1 introduces this open source, portable, interpreted, object-oriented programming language that combines remarkable power with clear syntax. This book enables you to quickly create robust, reliable, and reusable Python applications by teaching the basics so you can quickly develop Web and scientific applications, incorporate databases, and master systems tasks on various operating systems, including Linux, MAC OS, and Windows. You'll get a comprehensive tutorial that guides you from writing simple, basic Python scripts all the way through complex concepts, and also features a reference of the standard modules with examples illustrating how to implement features in the various modules. Plus, the book covers using Python in specific program development domains, such as XML, databases, scientific applications, network programming, and Web development.
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Create a robust, reliable, and reusable Python application
As an open source, object-oriented programming language, Python is easy to understand, extendable, and user-friendly. This book covers every aspect of Python so that you can get started writing your own programs with Python today. Author James Payne begins with the most basic concepts of the Python language—placing a special focus on the 2.6 and 3.1 versions—and he offers an in-depth look at existing Python programs so you can learn by example. Topics progress from strings, lists, and dictionaries to classes, objects, and modules. With this book, you will learn how to quickly and confidently create a robust, reliable, and reusable Python application.
Beginning Python:
Introduces the concepts of variables for storing and manipulating data
Examines files and input/output for reading or writing data
Reviews examples of often-overlooked features of Python
Delves into writing tests for modules and programs
Addresses programming with a graphical user interface in Python
Places special focus on XML, HTML, XSL, and related technologies
Explains how to extend Python
Shares numerical programming techniques
Offers an inside look at Jython, a version of Python written in Java
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