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 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 David Mertz - Addison-Wesley Professional
A hands-on tutorial that teaches how to accomplish numerous text processing tasks using Python. Filled with examples, the book provides efficient solutions to specific text processing problems and strategies for all text processing challenges.
by Swaroop C H
This is a tutorial and a guide on Python programming for absolute beginners. If all you know about computers is how to save text files, then this is the book for you. The book is updated for the upcoming Python 3.0 language.
by Kevin Sheppard
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.