Related: Upload user Python module to PyPi
python -m pip install -e .
easily and quickly installs complicated lists of prerequisites.
The best place to list prerequisites is
setup.cfg, which is human- and machine-parseable without first installing the package.
for reasons including:
- reproducible results
- security risk mitigation
- getting package prerequisite tree list
This is an example of best practices (since 2016) of minimal
It does NOT use
setup.py in modern Python packages can be a one-liner:
from setuptools import setup; setup()
setup.cfg holds the machine-readable configuration, easy for humans too:
[metadata] name = mycoolpkg author = Joe Smith description = My awesome program prints cool messages version = 0.8.1 url = https://github.com/joe/mycoolpkg keywords = cool printing networking classifiers = Development Status :: 4 - Beta Intended Audience :: Science/Research Programming Language :: Python :: 3.6 Programming Language :: Python :: 3.7 Topic :: Scientific/Engineering long_description = file: README.md long_description_content_type = text/markdown license_file = LICENSE [options] python_requires = >= 3.6 setup_requires = setuptools >= 38.6 pip >= 10 twine >= 1.11 include_package_data = True packages = find: install_requires = # colorama [options.extras_require] tests = pytest pytest-cov coveralls flake8 mypy [options.entry_points] console_scripts = # joesprint = joesprint:main [flake8] max-line-length = 132 exclude = .git,__pycache__,doc/,docs/,build/,dist/,archive/ [coverage:run] cover_pylib = false omit = /home/travis/virtualenv/* */site-packages/* [coverage:report] exclude_lines = pragma: no cover def __repr__ RuntimeError NotImplementedError FileNotFoundError ImportError
file:is not in the setup.cfg install_requires input types
console_scriptsexpects a file
joesprint.pywith the function
maindesigned to accept command line input, perhaps using
python_requiresparameter avoids user confusion if they have an old Python version. Instead of them opening a GitHub issue or just not using your program at all, they’ll get a useful error message.
Classifiers are optional, but help your project be indexed better in PyPi (and hence search engines). Classifiers must be from this official classifiers list or they will fail when uploading your package to PyPi.
- setup.py reference (excellent)
- setup.py notes from core Python developer
- don’t use requirements.txt for general prereqs
- setuptools 38.6 supports Markdown README
- Pip 10 brought
pyproject.tomlsupport, necessary for clean handling of Python Extension Modules via Numpy (use Fortran code directly as Python module without modification)