Utility functions for numpy. The only dependency is numpy.
The nptweak git repo is available as PyPi package
pip install nptweak
Check the examples folder for notebooks.
Install a virtual environment
python3 -m venv .venv
source .venv/bin/activate
pip3 install --upgrade pip
pip3 install -r requirements.txt
pip3 install jupyterlab twine
(If your git repo is stored in a folder with whitespaces, then don't use the subfolder .venv. Use an absolute path without whitespaces.)
Python commands
- Jupyter for the examples:
jupyter lab - Check syntax:
flake8 --ignore=F401 --exclude=$(grep -v '^#' .gitignore | xargs | sed -e 's/ /,/g') - Run Unit Tests:
pytest - Upload to PyPi with twine:
python setup.py sdist && twine upload -r pypi dist/*
Clean up
find . -type f -name "*.pyc" | xargs rm
find . -type d -name "__pycache__" | xargs rm -r
rm -r .pytest_cache
rm -r .venv
- Notebooks to profile python code are in the profile folder
Please open an issue for support.
Please contribute using Github Flow. Create a branch, add commits, and open a pull request.