In one form or another, processing text-based information is one of the more common tasks that applications need to perform. This can include anything from scanning a text file by columns to analyzing statements in a language defined by a formal grammar. Such processing usually is called parsing -- analyzing the structure of a text string. In this chapter, we'll explore ways to handle language and text-based information and summarize some Python development concepts in sidebars along the way.
Some of this material is advanced, but the examples are small. For instance, recursive descent parsing is illustrated with a simple example to show how it can be implemented in Python. We'll also see that it's often unnecessary to write custom parsers for each language processing task in Python. They can usually be replaced by exporting APIs for use in Python programs, and sometimes by a single built-in function call. Finally, this chapter closes by presenting PyCalc -- a calculator GUI written in Python, and the last major Python coding example in this text. As we'll see, writing calculators isn't much more difficult than juggling stacks while scanning text.
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