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Programming Python, Second Edition
book

Programming Python, Second Edition

by Mark Lutz
March 2001
Intermediate to advanced content levelIntermediate to advanced
1296 pages
38h 8m
English
O'Reilly Media, Inc.
Content preview from Programming Python, Second Edition

Strategies for Parsing Text in Python

In the grand scheme of things, there are a variety of ways to handle text processing in Python:

  • Built-in string objects

  • String module (and method) utilities

  • Regular expression matching

  • Parser-generator integrations

  • Hand-coded parsers

  • Running Python code with eval and exec built-ins

For simpler tasks, Python’s built-in string object is often all we really need. Python strings can be indexed, concatenated, sliced, and processed both with built-in functions and with the string module. Our emphasis in this chapter, though, is on higher-level tools and techniques for analyzing textual information. Let’s briefly explore each of the other approaches above with representative examples.

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Publisher Resources

ISBN: 0596000855Supplemental ContentCatalog PageErrata