semvec/pypi-packages huggingface dataset:
nptweak 0.1.0
utility functions for numpy
License: MIT
Requires Python: >=3.7

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# nptweak
Utility functions for numpy.
The only dependency is numpy.


## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)


## Installation
The `nptweak` [git repo](http://github.com/kmedian/nptweak) is available as [PyPi package](https://pypi.org/project/nptweak)

```
pip install nptweak
```


## Usage
Check the [examples](http://github.com/kmedian/nptweak/examples) folder for notebooks.


## Commands
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
```


## Debugging
* Notebooks to profile python code are in the [profile](http://github.com/kmedian/nptweak/profile) folder


## Support
Please [open an issue](https://github.com/kmedian/nptweak/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/nptweak/compare/).