Python Project Template

A low dependency and really simple to start project template for Python Projects.

Create a new repository from this template and choose a name for your project (e.g. my_awesome_project - recommendation is to use all lowercase and underscores separation for repo names.)
Wait until the first run of CI finishes (Gitea Actions will process the template and commit to your new repo)
If you want Automatic Release to PyPI
On the new repository settings->secrets add your PYPI_API_TOKEN (get the tokens on PyPI website)
Read the file CONTRIBUTING.md
Then clone your new project and happy coding!

Note

: WAIT until first CI run on gitea actions before cloning your new project.

🖼️ Templates for starting multiple application types: Run make init after cloning to generate a new project based on a template.
📦 A basic setup.py file to provide installation, packaging and distribution for your project.
Template uses setuptools because it's the de-facto standard for Python packages, you can run make switch-to-poetry later if you want.
🤖 A Makefile with the most useful commands to install, test, lint, format and release your project.
📃 Documentation structure using mkdocs
💬 Auto generation of change log using gitchangelog to keep a HISTORY.md file automatically based on your commit history on every release.
🐋 A simple Containerfile to build a container image for your project.
Containerfile is a more open standard for building container images than Dockerfile, you can use buildah or docker with this file.
🧪 Testing structure using pytest
✅ Code linting using flake8
🛳️ Automatic release to PyPI using twine and gitea actions.
🎯 Entry points to execute your program using python -m <project_name> or $ project_name with basic CLI argument parsing.
🔄 Continuous integration using Gitea Actions with jobs to lint, test and release your project on Linux, Mac and Windows environments.

Curious about architectural decisions on this template? read ABOUT_THIS_TEMPLATE.md

project_name

project_description

pip install project_name

from project_name import BaseClass
from project_name import base_function

BaseClass().base_method()
base_function()

$ python -m project_name
#or
$ project_name