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