Py_fresh
Python Project Maker
Overview
This is a template repository designed for Python projects, specifically machine learning projects. It aims to simplify the process of packaging and deploying Python code by providing the necessary tools and resources. The template includes features such as CI tests, Conda CI tests, building Docker images, code formatting checks, CodeQL, building and deploying documentation using mkdocs, PyPi release support, and codecov integration. By using this template, developers can quickly set up these features in their own repositories, making it easier to package, deploy, debug, and ship machine learning projects.
Features
- CI Tests
- Conda CI Tests
- Build Docker Image
- Check Code Formatting
- CodeQL
- Build mkdocs
- Deploy mkdocs
- PyPi Release
- Install Package
- codecov
Summary
The template repository for Python projects provides a convenient way to package and deploy machine learning projects. It includes essential features such as CI tests, Docker image building, code formatting checks, mkdocs for documentation, PyPi release support, and more. By using this template, developers can quickly set up their own repositories with these features and easily deploy and ship their projects. Suggestions and additions are welcome via pull requests, and the repository acknowledges several sources of inspiration.
- MkDocs
MkDocs is a fast, simple and downright gorgeous static site generator that's geared towards building project documentation. Documentation source files are written in Markdown, and configured with a single YAML configuration file.
- Templates & Themes
A template or theme refers to a pre-designed layout or structure that provides a basic framework for building a specific type of application or website. It typically includes good design, placeholder content and functional features, allowing developers to customize and fill in the details according to their specific needs.