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A framework for data science

Project description

exa logo

A framework for data science

Installation

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

or pypi.

$ pip install exa

Getting Started

gitter

See docs for usage.

Building the docs requires sphinx. On Linux or Mac:

$ cd docs
$ make html

On Windows:

$ cd docs
$ ./make.bat html

Development

Travis-CI

AppVeyor

Coveralls

Codacy Badge

For a development ready installation:

$ git clone https://github.com/exa-analytics/exa.git
$ cd exa
$ pip install -e .

Reference

DOI

Project details


Release history Release notifications

This version
History Node

0.4.2

History Node

0.4.1

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0.4.0

History Node

0.3.15

History Node

0.3.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
exa-0.4.2.tar.gz (101.0 kB) Copy SHA256 hash SHA256 Source None May 31, 2018

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