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.

Oke Aditya

Flask_template

Py_fresh