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 Kenneth Reitz - O'Reilly Media
This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis. You'll find a nice concise list of highly recommended options.
by Kristian Rother - GitBook
This is a tutorial for novice programmers, it works best if you follow the exercises step by step. If you are fluent in any programming language, this might be very easy for you. It contains little material on the higher abstraction levels in Python.
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 Harry Percival - O'Reilly Media