Kitam Studios - Template for Python Applications

Getting started

conda env create -f .environment.yml
pip install -r requirements.txt

Available out of the box

• Core
  • editorconfig, black, prospector
  • Unit tests: pytest
• VSCode
  • editorconfig, prospector, black
  • Unit test: auto run, run, debug
  • Settings
  • Recommended extensions
  • F5 debugging from VSCode
• CI/CD
  • GitHub workflow: black, prospector, unit tests
• TODO
  • pre-commit integration

Useful documents

• Getting Started with Python in VS Code

Available Scripts

In the project directory, you can run:

• Style check: black . --check --color --diff --target-version py37
• Lint: prospector
• Unit tests: pytest

Other Miscellaneous

Environment setup

• Create new environment

  • Setup conda

    conda deactivate
    conda env remove --name my.py.proj.1
    conda create --name my.py.proj.1 python=3.7
    conda activate my.py.proj.1

  • Install dependencies

    # conda install numpy
    

• Export environment

  conda env export --name my.py.proj.1 >.environment.yml

• Import environment

  conda env create -f .environment.yml

• Load anaconda:

  & 'C:\Users\partho\Anaconda3\shell\condabin\conda-hook.ps1' ; conda activate 'C:\Users\partho\Anaconda3' ; cd d:\src\c