Python template for Data Engineering

This is a python template repository doing the following

1. Set up enviroment for development
   a. .devcontainer: contains devcontainer (used CodeSpace python default), setting up the environment for development.
   b. .gitignore: specifies types of files to ignore in the repo (used GitHub default).
   c. requirements.txt: lists required packages for the project.

2. Specify GitHub Actions and timing
   d. Makefile: when pushed/ pulled to main branch, install packages, then lint, test, format python files in the branch.

3. Provide example python function and test functions
   e. main.py: main function.
   f. test_main.py: test functions for main function.

4. Provide an overview of the template
   g. README.md: THIS FILE, explaining the purpose of the directory.

The template can be applied to automate quality control for any future projects.