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Python. Text processing
Chapter 1. Python Basics
1.1 Techniques and Patterns
1.2 Standard Modules
1.3 Other Modules in the Standard Library
Chapter 2. Basic String Operations
2.1 Some Common Tasks
2.2 Standard Modules
2.3 Solving Problems
Chapter 3. Regular Expressions
3.1 A Regular Expression Tutorial
3.2 Some Common Tasks
3.3 Standard Modules
Chapter 4. Parsers and State Machines
4.1 An Introduction to Parsers
4.2 An Introduction to State Machines
4.3 Parser Libraries for Python
Chapter 5. Internet Tools and Techniques
5.1 Working with Email and Newsgroups
5.2 World Wide Web Applications
5.3 Synopses of Other Internet Modules
5.4 Understanding XML
Appendix A. A Selective and Impressionistic Short Review of Python
A.1 What Kind of Language Is Python?
A.2 Namespaces and Bindings
A.3 Datatypes
A.4 Flow Control
A.5 Functional Programming
Appendix B. A Data Compression Primer
B.1 Introduction
B.2 Lossless and Lossy Compression
B.3 A Data Set Example
B.4 Whitespace Compression
B.5 Run-Length Encoding
B.6 Huffman Encoding
B.7 Lempel Ziv-Compression
B.8 Solving the Right Problem
B.9 A Custom Text Compressor
B.10 References
Appendix C. Understanding Unicode
C.1 Some Background on Characters
C.2 What Is Unicode?
C.3 Encodings
C.4 Declarations
C.5 Finding Codepoints
C.6 Resources
Appendix D. A State Machine for Adding Markup to Text
Appendix E. Glossary
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