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 Brian Heinold - Mount St. Mary's University
Partly a tutorial and partly a reference book. I summarize information in tables and give a lot of short example programs. I also jump right into things and fill in background information as I go, rather than covering the background material first.
by EuroScipy tutorial team
Teaching material on the scientific Python ecosystem, a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
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 David Beazley, Brian K. Jones - O'Reilly Media
This cookbook is for experienced Python programmers who want to focus on modern tools and idioms. You'll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of applications.