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.

Introducing Python

Part I: System Interfaces

System Tools

Parallel System Tools

Larger System Examples I

Larger System Examples II

Part II: GUI Programming

Graphical User Interfaces

A Tkinter Tour, Part 1

A Tkinter Tour, Part 2

Larger GUI Examples

Part III: Internet Scripting

Network Scripting

Client-Side Scripting

Server-Side Scripting

Larger Web Site Examples I

Larger Web Site Examples II

Advanced Internet Topics

Part IV: Assorted Topics

Databases and Persistence

Data Structures

Text and Language

Part V: Integration

Extending Python

Embedding Python

VI: The End

Conclusion Python and the Development Cycle

Programming Python
Python Programming for the Absolute Beginner, 3rd Edition
ISBN: 1435455002
EAN: 2147483647
Year: 2000
Pages: 245 © 2008-2020.
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