Python's built-in libraries include powerful tools for retrieving and operating over abstract syntax trees. This article provides an overview of how to use these features to analyze and transform Python code programmatically.

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• Updated Oct 18, 2020
• Jupyter Notebook

Python decorator for including/removing type checks, value/bounds checks, and other code blocks within the compiled bytecode of functions and methods.

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• Updated Sep 27, 2025
• Python

Python Version Converter. Converts Python 2.x Syntax To Python 3.x.

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• Updated Feb 7, 2019
• Python