The Python Imaging Library
by Fredrik Lundh, Matthew Ellis
Publisher: PythonWare 2002
Number of pages: 77
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool.
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by Allen B. Downey - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
by Richard L. Halterman - Southern Adventist University
The focus is on introducing programming techniques and developing good habits. Our approach avoids some more esoteric features of Python and concentrates on the programming basics that transfer directly to other imperative programming languages.
by John C. Lusth - The University of Alabama
Contents: Starting Out; Literals; Combining Literals; Precedence and Associativity; Variables; Assignment; Conditionals; Functions; Python Programs and Using Files; Input and Output; More about Functions; Scope; Loops; Lists; Recursion; etc.
by Steven F. Lott
This book is a complete presentation of the Python for professional programmers who need to learn the language. The author leads you from a tiny, easy to understand subset of statements to the entire Python language and all built-in data structures.