Text Processing in Python
- Main Page
- Table of content
- Copyright
- Preface
- 0.1 What Is Text Processing?
- 0.2 The Philosophy of Text Processing
- 0.3 What You ll Need to Use This Book
- 0.4 Conventions Used in This Book
- 0.5 A Word on Source Code Examples
- 0.6 External Resources
- Acknowledgments
- 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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