This is a cookiecutter template for a typical Python library following modern packaging conventions. It utilizes popular libraries alongside Make and Graphviz to fully automate all development and deployment tasks. Check out the live demo: jacebrowning/template-python-demo
- Preconfigured setup for CI, coverage, and analysis services
pyproject.toml
for managing dependencies and package metadataMakefile
for automating common development tasks:- Installing dependencies with
poetry
- Automatic formatting with
isort
andblack
- Static analysis with
pylint
- Type checking with
mypy
- Docstring styling with
pydocstyle
- Running tests with
pytest
- Building documentation with
mkdocs
- Publishing to PyPI using
poetry
- Installing dependencies with
- Tooling to launch an IPython session with automatic reloading enabled
If you are instead looking for a Python application template, check out one of the sibling projects:
Here are a few sample projects based on this template:
- jacebrowning/minilog
- theovoss/Chess
- sprout42/StarStruct
- MichiganLabs/flask-gcm
- flask-restful/flask-restful
Install cookiecutter
and generate a project:
$ pip install cookiecutter
$ cookiecutter gh:jacebrowning/template-python -f
Cookiecutter will ask you for some basic info (your name, project name, python package name, etc.) and generate a base Python project for you. Once created, run the code formatter to updates files based on your chosen names:
$ cd <github_repo>
$ make format
Finally, commit all files generated by this template.
Run the update tool, which is generated inside each project:
$ bin/update