Python 2.6 Text Processing: Beginners Guide Pdf

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Python 2.6 Text Processing: Beginners Guide Pdf Having a basic understanding of Python you’ve got the capability to undertake text processing that is secondhand. This book is a superb introduction to the many methods, and instructs through practical examples and clear explanations. Review The simplest way to find text processing using Python Deals with the most significant meta data formats you may encounter Learn to utilize the very popular text processing libraries available for Python Packed with illustrations to lead you through What you will learn from that novel Know the choices available for processing in Python Parse JSON information that’s frequently utilized as a data delivery mechanism online Organize a log-processing program via programs and modules to make it more extensible Perform conditional matches through look-ahead and look-behind assertions using basic regular expressions Procedure XML and HTML files in an assortment of ways dependent on the demands of your application Employ callback methods to execute SAX processing and walk in-memory DOM constructions Understand Unicode, character encoding.

Internationalization, and localization Lay out a Mako template-based job using techniques like template inheritance, added tags, and custom filters Install and utilize the Mako templating system to make your personal Mako templates Procedure a high number of email messages together with the Python standard library and then index them using Nucular for quick searching Fix shared exceptions that happen while coping with various kinds of text encoding Build easy PDF output with the ReportLab toolkit’s high-level PLATYPUS frame Develop Microsoft Excel output with the xlwt module Open and edit present Open Document documents to use them as template resources Understand supporting classes and functions, like the Python IO process and packing elements Approach This publication is part of the Beginner’s Guide series. Every chapter covers the measures for a variety of activities to process data followed closely.

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