Table of content

  
• Table of Contents
Text Processing in Python
By David Mertz
 
Publisher: Addison Wesley
Pub Date: June 06, 2003
ISBN: 0-321-11254-7
Pages: 544
   Copyright
   Preface
      Section 0.1.  What Is Text Processing?
      Section 0.2.  The Philosophy of Text Processing
      Section 0.3.  What You'll Need to Use This Book
      Section 0.4.  Conventions Used in This Book
      Section 0.5.  A Word on Source Code Examples
      Section 0.6.  External Resources
   Acknowledgments
   Chapter 1.  Python Basics
      Section 1.1.  Techniques and Patterns
      Section 1.2.  Standard Modules
      Section 1.3.  Other Modules in the Standard Library
   Chapter 2.  Basic String Operations
      Section 2.1.  Some Common Tasks
      Section 2.2.  Standard Modules
      Section 2.3.  Solving Problems
   Chapter 3.  Regular Expressions
      Section 3.1.  A Regular Expression Tutorial
      Section 3.2.  Some Common Tasks
      Section 3.3.  Standard Modules
   Chapter 4.  Parsers and State Machines
      Section 4.1.  An Introduction to Parsers
      Section 4.2.  An Introduction to State Machines
      Section 4.3.  Parser Libraries for Python
   Chapter 5.  Internet Tools and Techniques
      Section 5.1.  Working with Email and Newsgroups
      Section 5.2.  World Wide Web Applications
      Section 5.3.  Synopses of Other Internet Modules
      Section 5.4.  Understanding XML
   Appendix A.  A Selective and Impressionistic Short Review of Python
      Section A.1.  What Kind of Language Is Python?
      Section A.2.  Namespaces and Bindings
      Section A.3.  Datatypes
      Section A.4.  Flow Control
      Section A.5.  Functional Programming
   Appendix B.  A Data Compression Primer
      Section B.1.  Introduction
      Section B.2.  Lossless and Lossy Compression
      Section B.3.  A Data Set Example
      Section B.4.  Whitespace Compression
      Section B.5.  Run-Length Encoding
      Section B.6.  Huffman Encoding
      Section B.7.  Lempel Ziv-Compression
      Section B.8.  Solving the Right Problem
      Section B.9.  A Custom Text Compressor
      Section B.10.  References
   Appendix C.  Understanding Unicode
      Section C.1.  Some Background on Characters
      Section C.2.  What Is Unicode?
      Section C.3.  Encodings
      Section C.4.  Declarations
      Section C.5.  Finding Codepoints
      Section C.6.  Resources
   Appendix D.  A State Machine for Adding Markup to Text
   Appendix E.  Glossary


Text Processing in Python
Text Processing in Python
ISBN: 0321112547
EAN: 2147483647
Year: 2005
Pages: 59
Authors: David Mertz

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