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README.md

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@@ -11,6 +11,7 @@ To get started, check out <https://plot.ly/javascript/getting-started/>!
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* [Documentation](#documentation)
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* [Contributing](#contributing)
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* [Community](#community)
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* [Clients for R, Python, and MATLAB](#clients-for-r-python-and-matlab)
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* [Creators](#creators)
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* [Copyright and license](#copyright-and-license)
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@@ -22,6 +23,12 @@ Several quick start options are available:
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* [Download the latest release](https://github.com/plotly/plotly.js/releases/v1.0.0/plotly.js.zip).
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* Clone the repo: `git clone https://github.com/plotly/plotly.js.git`.
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* Install with [npm](https://www.npmjs.com): `npm install plotly`.
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* Use the plotly.js CDN hosted by Fastly:
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```
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<!-- Latest compiled and minified plotly.js JavaScript -->
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<script type="text/javascript" src="http://cdn.plot.ly/plotly-latest.min.js">
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```
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Read the [Getting started page](https://plot.ly/javascript/getting-started/) for examples.
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You can also suggest new documentation examples by submitting a [Codepen](http://codepen.io/tag/plotly/) on community.plot.ly (tagged [`plotly-js`](community.plot.ly/c/plotly-js).
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### Running documentation locally
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1. If necessary, [install Jekyll](http://jekyllrb.com/docs/installation) (requires v3.0.x).
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**Note for Windows users:** Read [this unofficial guide](http://jekyll-windows.juthilo.com/) to get Jekyll up and running without problems.
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2. Make sure that you're on the ```source``` branch.
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3. From the root `/documentation` directory, run `jekyll serve` in the command line.
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4. Open `http://localhost:8000` in your browser, and voilà.
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Learn more about using Jekyll by reading its [documentation](http://jekyllrb.com/docs/home/).
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## Contributing
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Please read through our [contributing guidelines](https://github.com/plotly/plotly.js/blob/master/CONTRIBUTING.md). Included are directions for opening issues, coding standards, and notes on development.
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See [the Releases section of our GitHub project](https://github.com/plotly/plotly.js/releases) for changelogs for each release version of plotly.js.
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## Clients for R, Python, and MATLAB
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Open-source clients to the plotly.js API for R, Python and MATLAB are available at these links:
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**R / RStudio**
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* <https://twitter.com/fat>
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* <https://github.com/fat>
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**Python / Pandas / IPython notebook**
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* <https://github.com/plotly/plotly.py>
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* <https://plot.ly/python/getting-started/>
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**MATLAB**
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* <https://github.com/plotly/matlab-api>
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* <https://plot.ly/python/getting-started/>
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plotly.js charts can also be created and saved online for free at <https://plot.ly/plot>
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## Creators
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