Natural Language Processing with Python
by Steven Bird, Ewan Klein, Edward Loper
Publisher: O'Reilly Media 2009
Number of pages: 512
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.
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by Ajith Kumar - Inter University Accelerator Centre
Primary objective of this book is to explore the possibilities of using Python language as a tool for learning mathematics and science. The reader is not assumed to be familiar with computer programming. Ability to think logically is enough.
by John B. Schneider, Shira Lynn Broschat, Jess Dahmen - Washington State University
Python's syntax and idioms are much easier to learn than those of most other full-featured languages. This book uses programming language Python to introduce folks to programming and algorithmic thinking. The book is completely hyper-linked.
by Bruno R. Preiss
The primary goal of this book is to promote object-oriented design using Python and to illustrate the use of the emerging object-oriented design patterns. The book shows how these patterns are used to create good software designs.
by Sean M. Tracey - The MagPi Magazine
In this book, we are going to learn to make games on the Raspberry Pi with Pygame. We'll look at drawing, animation, keyboard and mouse controls, sound, and physics. This book isn't for absolute programming beginners, but it's not far from it.