semvec/pypi-packages huggingface dataset:
numphy 0.0.2
Physics objects backed by NumPy and/or TensorFlow.
License: MIT
Keywords: numpy physics hep particle vector lorentz boost numpy tensorflow

.. figure:: https://raw.githubusercontent.com/riga/numphy/master/logo.png
   :target: https://github.com/riga/numphy
   :align: center
   :alt: numphy logo

.. image:: https://img.shields.io/travis/riga/numphy/master.svg?style=flat
   :target: https://travis-ci.org/riga/numphy
   :alt: Build status

.. image:: https://readthedocs.org/projects/numphy/badge/?version=latest
   :target: http://numphy.readthedocs.io/en/latest
   :alt: Documentation status

.. image:: https://img.shields.io/pypi/v/numphy.svg?style=flat
   :target: https://pypi.python.org/pypi/numphy
   :alt: Package version

.. image:: https://img.shields.io/pypi/n/numphy.svg?style=flat
   :target: https://pypi.python.org/pypi/numphy
   :alt: License


Numphy provides simple access to physics objects (particles, Lorentz vectors, points, etc.) backed by `NumPy <http://www.numpy.org>`__ arrays **and/or** `TensorFlow <http://www.tensorflow.org>`__ tensors.


**Note**: This project is currently under development.


.. marker-after-header


First steps
===========

Installation and Dependencies
-----------------------------

Install via `pip <https://pypi.python.org/pypi/numphy>`__:

.. code-block:: bash

   pip install numphy

NumPy is the only dependency.


Development
===========

- Source hosted at `GitHub <https://github.com/riga/numphy>`__
- Report issues, questions, feature requests on `GitHub Issues <https://github.com/riga/numphy/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:

.. code-block:: bash

   python -m unittest tests


Authors
-------

- `Marcel R. <https://github.com/riga>`__
- `Benjamin F. <https://github.com/bfis>`__


.. marker-after-body


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.
azureml-serving 0.1.0a14
Microsoft Azure Machine Learning Python SDK for collecting model data during operationalization
License: MIT
Keywords: azure machinelearning model operationalization datacollection

Microsoft Azure Machine Learning Data Collection API for Python
===================================================

This package has been tested with Python 2.7 and 3.5.

This is a preview release
=========================

The SDK is being released as a preview, for gathering feedback.

**Future releases are subject to breaking changes.**

.. :changelog:

Release History
===============


0.1.0a1 (2017-05-30)
^^^^^^^^^^^^^^^^^^^^^

* Preview release.