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E-book
Author McNeil, Jeff, author

Title Python 2.6 Text Processing Beginner's Guide / McNeil, Jeff
Edition First edition
Published Packt Publishing, 2010
Online access available from:
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Description 1 online resource (380 pages)
Summary With a basic knowledge of Python you have the potential to undertake time-saving text processing. This book is a great introduction to the various techniques, and teaches through practical examples and clear explanations. The easiest way to learn text processing with Python Deals with the most important textual data formats you will encounter Learn to use the most popular text processing libraries available for Python Packed with examples to guide you through In Detail For programmers, working with text is not about reading their newspaper on a break; it's about taking textual data in one form and doing something to it. Extract, decrypt, parse, restructure - these are just some of the text tasks that can occupy much of a programmer's life. If this is your life, this book will make it better - a practical guide on how to do what you want with textual data in Python. Python 2.6 Text Processing Beginner's Guide is the easiest way to learn how to manipulate text with Python. Packed with examples, it will teach you text processing techniques and give you the skills to work with the most popular Python libraries for transforming text from one form to another. The book gets you going with a quick look at some data formats, and installing the supporting libraries and components so that you're ready to get started. You move on to extracting text from a collection of sources and handling it using Python's built-in string functions and regular expressions. You look into processing structured text documents such as XML and HTML, JSON, and CSV. Then you progress to generating documents and creating templates. Finally you look at ways to enhance text output via a collection of third-party packages such as Nucular, PyParsing, NLTK, and Mako. Learn text processing techniques and work with the most popular Python libraries for transforming text from one form to another
Notes Mode of access: World Wide Web
Copyright © 2010 Packt Publishing
Issuing Body Made available through: Safari, an O'Reilly Media Company
Subject Python (Computer program language)
Form Electronic book
Author Safari, an O'Reilly Media Company