A unified platform for theoretical and computational chemists.
Project description
[](https://exa-analytics.github.io)
A unified platform for computational chemists
 
# Installation [](https://conda.anaconda.org/exaanalytics)
[](https://badge.fury.io/py/exatomic)
Exa is available through [anaconda](https://www.continuum.io/downloads)
$ conda install -c exaanalytics exatomic
or [pypi](https://pypi.python.org/pypi).
$ pip install exatomic $ jupyter nbextension enable –py –sys-prefix exatomic
# Getting Started
See [docs](https://exa-analytics.github.io/exatomic/) for usage.
Building the docs requires [sphinx](http://www.sphinx-doc.org/en/stable). On Linux or Mac:
$ cd docs $ make html
On Windows:
$ cd docs $ ./make.bat html
# Contributing
[](https://travis-ci.org/exa-analytics/exatomic)
[](https://ci.appveyor.com/project/avmarchenko/exatomic)
[](https://coveralls.io/github/exa-analytics/exatomic?branch=master)
For a development ready installation:
$ git clone https://github.com/exa-analytics/exatomic.git $ cd exatomic $ pip install -e . $ jupyter nbextension install –py –symlink –sys-prefix exatomic $ jupyter nbextension enable –py –sys-prefix exatomic
Note that this requires npm. On Windows, symlinks will not work but as a work- around, extensions can be recompiled and reinstalled upon edits without the need to reinstall the package.
# Reference [](https://zenodo.org/badge/latestdoi/23807/exa-analytics/exatomic)
# Legal [](http://www.apache.org/licenses/LICENSE-2.0) Copyright (c) 2015-2022, Exa Analytics Development Team Distributed under the terms of the Apache License 2.0
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