toolbox-python
Introduction🔗
The purpose of this package is to provide some helper files/functions/classes for generic Python processes.
Key URLs🔗
For reference, these URL's are used:
| Type | Source | URL |
|---|---|---|
| Git Repo | GitHub | https://github.com/data-science-extensions/toolbox-python |
| Python Package | PyPI | https://pypi.org/project/toolbox-python |
| Package Docs | Pages | https://data-science-extensions.com/python-toolbox/ |
Installation🔗
You can install and use this package multiple ways by using pip, uv, pipenv, or poetry.
Using pip:🔗
-
In your terminal, run:
python3 -m pip install --upgrade pip python3 -m pip install toolbox-python -
Or, in your
requirements.txtfile, add:toolbox-pythonThen run:
python3 -m pip install --upgrade pip python3 -m pip install --requirement=requirements.txt
Using uv:🔗
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In your terminal, run:
uv add toolbox-python
Using pipenv:🔗
-
Install using environment variables:
In your
Pipfilefile, add:[[source]] url = "https://pypi.org/simple" verify_ssl = false name = "pypi" [packages] toolbox-python = "*"Then run:
python3 -m pip install pipenv python3 -m pipenv install --verbose --skip-lock --categories=root index=pypi toolbox-python -
Or, in your
requirements.txtfile, add:toolbox-pythonThen run:
python3 -m run pipenv install --verbose --skip-lock --requirements=requirements.txt -
Or just run this:
python3 -m pipenv install --verbose --skip-lock toolbox-python
Using poetry:🔗
-
In your
pyproject.tomlfile, add:[tool.poetry.dependencies] toolbox-python = "*"Then run:
poetry install -
Or just run this:
poetry add toolbox-python poetry install poetry sync
Contribution🔗
Contribution is always welcome.
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Clone your forked/branched repo.
-
Build your environment:
-
Start contributing.
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When you're happy with the changes, raise a Pull Request to merge with the main branch again.
Build and Test🔗
To ensure that the package is working as expected, please ensure that:
- You write your code as per PEP8 requirements.
- You write a UnitTest for each function/feature you include.
- The CodeCoverage is 100%.
- All UnitTests are passing.
- Type Checking is passing 100%.
- Complexity is within the required standard.
- Docstrings are correctly formatted.
Testing🔗
-
Run them all together:
uv run src/utils/scripts.py check -
Or run them individually:
-
uv run src/utils/scripts.py check-black -
uv run src/utils/scripts.py check-pytest -
uv run src/utils/scripts.py check-ty -
uv run src/utils/scripts.py check-complexity -
uv run src/utils/scripts.py check-docstrings
-