numphy 0.0.2

Physics objects backed by NumPy and/or TensorFlow.

Numphy provides simple access to physics objects (particles, Lorentz vectors, points, etc.) backed by NumPy arrays and/or TensorFlow tensors.

Note: This project is currently under development.

First steps

Installation and Dependencies

Install via pip:

pip install numphy

NumPy is the only dependency.

Development

• Source hosted at GitHub

• Report issues, questions, feature requests on GitHub Issues

Contributing and Testing

If you like to contribute, we are happy to receive pull requests. Just make sure to add a new test case and run them via:

python -m unittest tests

Authors

• Marcel R.

• Benjamin F.

License

The MIT License (MIT)

Copyright (c) 2018 Marcel R.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.