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 Hans Petter Langtangen - Springer
With a primary focus on examples and applications of relevance to computational scientists, this useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts.
by Guido Van Rossum - Network Theory Ltd.
The definitive language reference for Python. It describes the syntax of Python and its built-in datatypes. It covers advanced topics, and is suitable for readers who are familiar with the details and rules of the Python and its object system.
by Jeffrey Elkner, at al.
The goal of this book is twofold: to teach you how to program in Python; and to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science.
by Hannes Röst, et al. - Wikibooks
This book describes Python, an open-source general-purpose interpreted programming language, available for all Platforms. Python is a high-level, structured programming language that can be used for a wide variety of programming tasks.