Python Pocket Reference, 2/e

Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for Internet scripting, systems programming, user interfaces, and product customization. Python is available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS. It's portable, powerful, and remarkably easy to use. It's also an interpreted language, designed for rapid application development and deployment.

Python Pocket Reference, 2nd Edition is a companion volume to two O'Reilly Animal Guides, Programming Python, 2nd Edition and Learning Python. It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release 2.2, and provides quick access to just what you're looking for. It is a short, concise reference for the most commonly used libraries and tools. The new edition also includes new summary material for Python's GUI, Internet, and database programming tools. The author, Mark Lutz, is a Python luminary-who has been on the Python scene since its inception.

Table of Contents

      Introduction  

      Conventions  

      Command-Line Options  

      Environment Variables  

      Built-in Types and Operators  

      Specific Built-in Types  

      Statements and Syntax  

      Specific Statements  

      Namespace and Scope Rules  

      Object-Oriented Programming  

      Operator Overloading Methods  

      Built-in Functions  

      Built-in Exceptions  

      Built-in Attributes  

      Built-in Modules  

      The sys Interpreter Module  

      The string Module and Methods  

      The os System Module  

      The re Pattern-Matching Module  

      Object Persistence Modules  

      Tkinter GUI Module and Tools  

      Internet Modules and Tools  

      Other Built-in Modules  

      Major Python/C API Tools  

      Python Portable SQL Database API  

      Python Idioms and Hints