Release v0.1.4 (What’s new?).

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Welcome to pywf_open_source Documentation

https://pywf-open-source.readthedocs.io/en/latest/_static/pywf_open_source-logo.png

pywf_open_source streamlines open source Python project development by providing a unified workflow automation framework. It eliminates the cognitive overhead of switching between projects by normalizing common development tasks through a consistent interface.

The library automates common operations for projects using:

  • A public GitHub repo to host your project.

  • Use poetry to manage your project dependencies and build distribution package.

  • Use pytest unit test framework for testing.

  • Use GitHub Actions to run your test.

  • Use Codecov.io to publish your test coverage result.

  • Use sphinx-doc to build your documentation website.

  • A public ReadTheDocs project to host your documentation website.

  • Use twine to publish your package to PyPI.

  • Use PyPI to publish your package.

  • Use GitHub Release to track your historical assets.

It assumes the following code folder structure:

.github/workflows/main.yml # GitHub Actions CI/CD configuration file
${package_name}/
${package_name}/__init__.py
${package_name}/*.py
docs/
docs/source # documentation source folder
docs/source/conf.py # sphinx doc configuration file
tests/ # unit test folder
bin/ # development workflow automation scripts
bin/pywf.py
bin/s01_....py
bin/s02_....py
bin/...
Makefile # makefile for automation
.coveragerc # code coverage test configuration file
codecov.yml # code coverage CI rules configuration file
.readthedocs.yml # readthedocs.org configuration file
pyproject.toml # Python project configuration file, no setup.py

Project Maintainer Note

This project follows the best practice mentioned in THIS DOCUMENT.

Install

pywf_open_source is released on PyPI, so all you need is to:

$ pip install pywf-open-source

To upgrade to latest version:

$ pip install --upgrade pywf-open-source

Table of Content

About the Author

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Sanhe Hu is a seasoned software engineer with a deep passion for Python development since 2010. As an author and maintainer of 150+ open-source Python projects, with over 15 million monthly downloads, I bring a wealth of experience to the table. As a Senior Solution Architect and Subject Matter Expert in AI, Data, Amazon Web Services, Cloud Engineering, DevOps, I thrive on helping clients with platform design, enterprise architecture, and strategic roadmaps.

Talk is cheap, show me the code:

API Document