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Jul 10, 2016
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Updated links for build status and coverage status #11

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8 changes: 4 additions & 4 deletions README.md
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# sharepa

```master``` build status: [![Build Status](https://travis-ci.org/fabianvf/sharepa.svg?branch=master)](https://travis-ci.org/fabianvf/sharepa)
```master``` build status: [![Build Status](https://travis-ci.org/CenterForOpenScience/sharepa.svg?branch=master)](https://travis-ci.org/CenterForOpenScience/sharepa)


```develop``` build status: [![Build Status](https://travis-ci.org/fabianvf/sharepa.svg?branch=develop)](https://travis-ci.org/fabianvf/sharepa)
```develop``` build status: [![Build Status](https://travis-ci.org/CenterForOpenScience/sharepa.svg?branch=develop)](https://travis-ci.org/CenterForOpenScience/sharepa)


[![Coverage Status](https://coveralls.io/repos/fabianvf/sharepa/badge.svg?branch=develop)](https://coveralls.io/r/fabianvf/sharepa?branch=develop)
[![Coverage Status](https://coveralls.io/repos/CenterForOpenScience/sharepa/badge.svg?branch=develop)](https://coveralls.io/r/CenterForOpenScience/sharepa?branch=develop)
[![Code Climate](https://codeclimate.com/github/fabianvf/sharepa/badges/gpa.svg)](https://codeclimate.com/github/fabianvf/sharepa)


A python client for browsing and analyzing SHARE data (https://osf.io/share), gathered with scrAPI (https://github.com/fabianvf/scrapi). It builds heavily (almost completely) on the [elasticsearch-dsl](https://github.com/elastic/elasticsearch-dsl-py) package for handling Elasticsearch querying and aggregations, and contains some additional utilities to help with graphing and analyzing the data.
A python client for browsing and analyzing SHARE data (https://osf.io/share), gathered with scrAPI (https://github.com/CenterForOpenScience/scrapi). It builds heavily (almost completely) on the [elasticsearch-dsl](https://github.com/elastic/elasticsearch-dsl-py) package for handling Elasticsearch querying and aggregations, and contains some additional utilities to help with graphing and analyzing the data.

## Installation
You can install sharepa using pip:
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