quantumtools 0.1.0

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quantum_ml

machine learning utilities

1. Development setup

   1. Note prepend py -3.8 -m if there are different pythonv versions
   2. Install poetry
      1. pip install poetry # develop in python 3.8
   3. Note in windows and vscode, need to ensure vscode env path is
      1. ~/.virtualenvs
      2. "python.venvPath": "~/.virtualenvs" in settings.json
      3. and py -3.8 -m poetry config virtualenvs.in-project false
      4. py -3.8 -m poetry config virtualenvs.path "~\.virtualenvs"
   4. to recreate env with updated pyproject.toml
      1. enter python env with py -3.8 -m poetry shell
      2. update_env.bat
   5. to add dependencies
      1. enter python env py -3.8 -m poetry shell
      2. poetry add packagename@^#.#.# , @ is for version increase
      3. for development dependencies poetry add --group dev packagename@^#.#.#

2. Dev Reference

   1. Generate pyproject.toml interactively and create venv

   2. poetry init or poetry new packagename

   3. Add dependency

      1. poetry add requests # Add --group dev for development dependencies

   4. Install dependencies into venv

      1. poetry install

   5. Activate venv

      1. poetry shell

   6. Exit venv

      1. exit

   7. NOTE, to add for installs from github, use poetry2setup > setup.py