Python-minifier transforms Python source code into its most compact representation, primarily by removing docstrings, comments, blank lines, and minimizing indentation. It is often used for optimizing code for deployment in size-constrained environments, such as AWS Lambda functions. The library is actively maintained, with frequent updates to support new Python versions, currently up to 3.14.
pip install python-minifierVerified import paths — ran on the pinned version, not inferred.
Minify a string of Python source code using the `minify` function.
Ensure `python-minifier` is run using the exact Python interpreter version targeted for the minified code's execution environment. For example, if deploying to a Python 3.8 environment, use a Python 3.8 interpreter to run `python-minifier`.
Thoroughly test minified code, especially conditional logic, when using `--remove-debug`. Consider using `--no-remove-debug` if unexpected behavior occurs.
Use obfuscation features with extreme caution. Always retain a clear, un-obfuscated version of your source code for maintenance and debugging.
Explicitly specify UTF-8 encoding when writing minified output to a file or set the `PYTHONIOENCODING` environment variable to `UTF-8` for the `pyminify` command line tool.
When using the `pyminify` command-line tool, ensure your terminal is configured for UTF-8 or redirect output to a file with explicit UTF-8 encoding. When using the `minify` function programmatically and writing to a file, open the file with `encoding='utf-8'` (e.g., `with open('output.py', 'w', encoding='utf-8') as f:`).Run `python-minifier` (or the `pyminify` command) with the same Python interpreter version that will execute the minified code. For example, if your target environment is Python 3.8, activate a Python 3.8 virtual environment before running `pyminify`.
Review the available options for `pyminify --help` or the `minify` function arguments. For example, to ensure docstrings are removed, use `minify(source_code, remove_literal_statements=True)`.
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