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 Al Sweigart - inventwithpython.com
The book teaches complete beginners how to program in the Python programming language. It features the source code to several ciphers and hacking programs for these ciphers. The final chapters cover the modern RSA cipher and public key cryptography.
by Charles Severance - PythonLearn
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python.
by Charles R. Severance - PythonLearn
This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as a tool to solve data problems that are beyond the capability of a spreadsheet.
This is an unofficial free book created for educational purposes. The book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA.