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A framework for data engineering and science

Project description

exa logo

A framework for data engineering and science

Installation

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Exa is available through anaconda
$ conda install -c exaanalytics exa

or pypi.

$ pip install exa

Getting Started

See docs for usage.

Building the docs requires sphinx. On Linux or Mac:

$ ./make-docs.sh

On Windows:

$ make-docs.bat

Development

Travis-CI

AppVeyor

Coveralls

Codacy Badge

For a development ready installation:

$ git clone https://github.com/exa-analytics/exa.git
$ cd exa
$ python setup.py develop

Reference

DOI

Project details


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