tambora 0.1.0a1.dev17

An n-body code for the modern era.

tambora

An N-body code for the modern era.

Installation

Please note that this code is under rapid development and backwards compatility is currently not guarenteed.

Until it is added to PyPI in the near future, you can use the code by running the following in your terminal:

git clone https://github.com/sgpfaff/tambora.git
cd tambora
pip install .

License

This project is Copyright (c) Gabriel Pfaffman and licensed under the terms of the BSD 3-Clause license. This package is based upon the Openastronomy packaging guide <https://github.com/OpenAstronomy/packaging-guide>_ which is licensed under the BSD 3-clause licence. See the licenses folder for more information.

Contributing

We love contributions! tambora is open source, built on open source, and we'd love to have you hang out in our community.

Imposter syndrome disclaimer: We want your help. No, really.

There may be a little voice inside your head that is telling you that you're not ready to be an open source contributor; that your skills aren't nearly good enough to contribute. What could you possibly offer a project like this one?

We assure you - the little voice in your head is wrong. If you can write code at all, you can contribute code to open source. Contributing to open source projects is a fantastic way to advance one's coding skills. Writing perfect code isn't the measure of a good developer (that would disqualify all of us!); it's trying to create something, making mistakes, and learning from those mistakes. That's how we all improve, and we are happy to help others learn.

Being an open source contributor doesn't just mean writing code, either. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you're coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.

Note: This disclaimer was originally written by Adrienne Lowe <https://github.com/adriennefriend>_ for a PyCon talk <https://www.youtube.com/watch?v=6Uj746j9Heo>, and was adapted by tambora based on its use in the README file for the MetPy project <https://github.com/Unidata/MetPy>.