Skip to main content

FORC analysis in Python

Project description

MIT license

pyforc

FORC analysis in Python. A FORC distribution plot.

Installation

Install from PyPI

The easiest way to get started is by installing via pip:

pip install pyforc

This will grab the latest published release on the Python Package Index and install it to your current python environment.

Installation from source

Install from source by doing

pip install git+https://github.com/peytondmurray/pyforc

Alternatively you can clone this repo and run

pip install .

Contributions

Contributions are welcome - open an issue or create a pull request. I'm trying to stick to PEP8 as much as I can, except I'm using line lengths of 100 characters. I'm using numpydoc formatting for the documentation as well. Don't worry too much about this stuff though, we can work together to integrate your code.

Pre-commit hooks

This project makes use of pre-commit hooks for linting and style checking. If you haven't used pre-commit hooks before, first install pre commit:

pip install pre-commit

Then inside the repository install the hooks themselves:

pre-commit install

Now, pre-commit hooks will run automatically any time you type git commit.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

pyforc-1.2.0-py3-none-any.whl (14.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page