A simply utility script which allows you to analyze your Python file
The Python File Analyzer is a utility for analyzing Python files, providing insights into functions, classes, imports, and variables. It is easy to use and encourages contributions.
Read original article
The Python File Analyzer is a utility script designed to analyze Python files, offering insights into their structure and composition. Key features include the ability to analyze functions, classes, imports, variables, and function calls within the code. To use the script, users need to clone the repository from GitHub, navigate to the directory, make the script executable, and then run it with a specified Python file as an argument. The output generated from the analysis includes the total number of lines in the file, lists of functions and classes, details of imports with documentation links, defined variables and their usage, as well as function calls made within the file. The project encourages contributions and is licensed under the MIT License. It utilizes Python's `ast` module for code parsing and analysis, making it a valuable tool for developers seeking to understand or document existing Python codebases.
- Python File Analyzer provides detailed insights into Python file structure.
- Users can analyze functions, classes, imports, variables, and function calls.
- The script is easy to use with simple command-line instructions.
- Contributions to the project are encouraged and welcomed.
- The tool is licensed under the MIT License and uses Python's `ast` module for analysis.
Related
Python with Braces
Bython is a Python preprocessor on GitHub, enabling curly brace usage instead of whitespace for indentation. It ensures compatibility with modules like NumPy and Matplotlib. Installation options include pip or GitHub cloning.
Summary of Major Changes Between Python Versions
The article details Python updates from versions 3.7 to 3.12, highlighting async/await, Walrus operator, Type hints, F-strings, Assignment expressions, Typing enhancements, Structural Pattern Matching, Tomllib, and useful tools.
Wat – Deep inspection of Python objects
WAT Inspector is a Python tool for runtime object inspection, revealing attributes, types, and methods. It can be used without installation or via pip, offering various modifiers for customization.
Tracing the evolution of a Python function with Git log
The article explains using the `git log -L` command to trace changes in a specific Python function, illustrated with the Authlib library's `authenticate_token` method, enhancing code history understanding.
Show HN: Visual a* Pathfinding and Maze Generation in Python
The GitHub repository implements the A* pathfinding algorithm and maze generation techniques in Python, featuring advanced visualization, customizable parameters, and maze validation, relying on libraries like NumPy and Matplotlib.
4 commentsMy code or someone else’s code? I see stats about imports, vars, classes, functions—I know what my code does if I wrote it, no?
I don’t get the use case. That said, I am interested in how I can more quickly learn other people’s code—structure, what’s a main process and what’s supporting.
How does the script deal with shadowed variables and variable names that occur different places?
Related
Python with Braces
Bython is a Python preprocessor on GitHub, enabling curly brace usage instead of whitespace for indentation. It ensures compatibility with modules like NumPy and Matplotlib. Installation options include pip or GitHub cloning.
Summary of Major Changes Between Python Versions
The article details Python updates from versions 3.7 to 3.12, highlighting async/await, Walrus operator, Type hints, F-strings, Assignment expressions, Typing enhancements, Structural Pattern Matching, Tomllib, and useful tools.
Wat – Deep inspection of Python objects
WAT Inspector is a Python tool for runtime object inspection, revealing attributes, types, and methods. It can be used without installation or via pip, offering various modifiers for customization.
Tracing the evolution of a Python function with Git log
The article explains using the `git log -L` command to trace changes in a specific Python function, illustrated with the Authlib library's `authenticate_token` method, enhancing code history understanding.
Show HN: Visual a* Pathfinding and Maze Generation in Python
The GitHub repository implements the A* pathfinding algorithm and maze generation techniques in Python, featuring advanced visualization, customizable parameters, and maze validation, relying on libraries like NumPy and Matplotlib.