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Merge pull request plotly#1313 from jbampton/patch-1
Update footer copyright year to be dynamic by using liquid markup and…
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‎Contributing.md

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2. Check Ruby version `$ ruby --version`. We recommend using `version 2.3.3` or the same ruby version as [gh-pages](https://pages.github.com/versions/). Note [RVM](https://rvm.io/rvm/install) is helpful for installing and managing ruby versions.
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3. Install bundler and dependencies from the `gemfile`:
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3. Install bundler and dependencies from the `Gemfile`:
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```sh
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gem install bundler

‎_includes/_new/_page-components/_footer-main.html

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<div class="--wrap">
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<article class="--copyright">Copyright &copy; 2018 Plotly. All rights reserved.</article>
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{% include copyright.html %}
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<article class="--tos"><a href="https://plot.ly/terms-of-service/" target="_blank">Terms of Service</a>

‎_includes/breadcrumb.html

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</ul>
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Fork on Github :)
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Fork on GitHub :)
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‎_includes/copyright.html

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<article class="--copyright">Copyright &copy; {{ "now" | date: "%Y" }} Plotly. All rights reserved.</article>

‎_includes/dashboards-copy/sales-copy.html

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<p>
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C-12 Energy’s technology team built their real-time data acquisition, visualization and analysis
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platform on Plotly’s data visualization and dashboard technology. Their platform uses a mix of
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Python, Javascript and Plotly.js to capture and analyze large data sets:
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Python, JavaScript and Plotly.js to capture and analyze large data sets:
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‎_includes/footer.html

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‎_includes/navigation-bar.html

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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<span>Fork on Github</span>
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{% elsif page.language == 'python' or page.language == 'pandas' %}
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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{% elsif page.language == 'matlab' or page.language == 'matplotlib' %}
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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{% elsif page.language == 'r' or page.language == 'ggplot2' %}
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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{% elsif page.language == 'plotly_js' %}
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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‎_posts/2015-07-26-index.html

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<h2>Plotly MATLAB Open Source Graphing Library</h2>
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<!--<p>Engineers and data scientists using Python, R, Matlab or Javascript.</p>-->
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<!--<p>Engineers and data scientists using Python, R, Matlab or JavaScript.</p>-->
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‎_posts/dashboards/xlwings_assets/2015-06-30-xlwings.html

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<p>This notebook was contributed by <a href="https://plot.ly/~otto.stegmaier">Plotly user Otto Stegmaier</a>. You can follow Otto on <a href="https://github.com/ostegm">Github</a>.</p>
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<p>This notebook was contributed by <a href="https://plot.ly/~otto.stegmaier">Plotly user Otto Stegmaier</a>. You can follow Otto on <a href="https://github.com/ostegm">GitHub</a>.</p>
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‎_posts/dashboards/xlwings_assets/xlwings.ipynb

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"This notebook was contributed by [Plotly user Otto Stegmaier](https://plot.ly/~otto.stegmaier). You can follow Otto on Twitter [@otto_stegmaier](https://twitter.com/otto_stegmaier?lang=en) or [GitHub](https://github.com/ostegm). "
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‎_posts/ggplot2/2015-08-10-getting-started_ggplot2_index.Rmd

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‎_posts/ggplot2/2015-08-10-getting-started_ggplot2_index.md

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‎_posts/ipython-notebooks/2015-06-30-2d-kernel-density-distributions.html

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<h5 id="ABOUT-THE-AUTHOR:">ABOUT THE AUTHOR:<a class="anchor-link" href="#ABOUT-THE-AUTHOR:">&#182;</a></h5><p>This notebook was contributed by <a href="https://plot.ly/~empet">Plotly user Emilia Petrisor</a>. You can follow Emilia on Twitter <a href="https://twitter.com/mathinpython">@mathinpython</a> or <a href="https://github.com/empet">Github</a>.</p>
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<h5 id="ABOUT-THE-AUTHOR:">ABOUT THE AUTHOR:<a class="anchor-link" href="#ABOUT-THE-AUTHOR:">&#182;</a></h5><p>This notebook was contributed by <a href="https://plot.ly/~empet">Plotly user Emilia Petrisor</a>. You can follow Emilia on Twitter <a href="https://twitter.com/mathinpython">@mathinpython</a> or <a href="https://github.com/empet">GitHub</a>.</p>
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‎_posts/ipython-notebooks/2015-06-30-bezier.html

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<p>This notebook was contributed by <a href="https://plot.ly/~empet">Plotly user Emilia Petrisor</a>. You can follow Emilia on Twitter <a href="https://twitter.com/mathinpython">@mathinpython</a> or <a href="https://github.com/empet">GitHub</a>.</p>
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‎_posts/ipython-notebooks/2015-06-30-color.html

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<h6 id="Install-with-pip,-sudo-pip-install-colorlover-Code-and-documentation-on-Github">Install with pip, <code>sudo pip install colorlover</code> Code and documentation on <a href="https://github.com/jackparmer/colorlover" target="_blank">GitHub</a><a class="anchor-link" href="#Install-with-pip,-sudo-pip-install-colorlover-Code-and-documentation-on-Github">&#182;</a></h6>
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‎_posts/ipython-notebooks/2015-06-30-density-of-states.html

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<h3 id="About-the-Author:">About the Author:<a class="anchor-link" href="#About-the-Author:">&#182;</a></h3><p>This notebook was contributed by plotly user <a href="https://plot.ly/~gvallverdu">Germain Salvato-Vallverdu</a>. You can follow him on <a href="https://github.com/gVallverdu?tab=activity">Github</a> or visit <a href="http://gvallver.perso.univ-pau.fr/">his webpage</a>.</p>
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<h3 id="About-the-Author:">About the Author:<a class="anchor-link" href="#About-the-Author:">&#182;</a></h3><p>This notebook was contributed by plotly user <a href="https://plot.ly/~gvallverdu">Germain Salvato-Vallverdu</a>. You can follow him on <a href="https://github.com/gVallverdu?tab=activity">GitHub</a> or visit <a href="http://gvallver.perso.univ-pau.fr/">his webpage</a>.</p>
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‎_posts/ipython-notebooks/2015-06-30-scoreboard-republican-candidates.html

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<h5 id="ABOUT-THE-AUTHOR:">ABOUT THE AUTHOR:<a class="anchor-link" href="#ABOUT-THE-AUTHOR:">&#182;</a></h5><p>This notebook was contributed by <a href="https://plot.ly/~empet">Plotly user Emilia Petrisor</a>. You can follow Emilia on Twitter <a href="https://twitter.com/mathinpython">@mathinpython</a> or <a href="https://github.com/empet">Github</a>.</p>
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<h5 id="ABOUT-THE-AUTHOR:">ABOUT THE AUTHOR:<a class="anchor-link" href="#ABOUT-THE-AUTHOR:">&#182;</a></h5><p>This notebook was contributed by <a href="https://plot.ly/~empet">Plotly user Emilia Petrisor</a>. You can follow Emilia on Twitter <a href="https://twitter.com/mathinpython">@mathinpython</a> or <a href="https://github.com/empet">GitHub</a>.</p>
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‎_posts/ipython-notebooks/2015-06-30-ukelectionbbg.html

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<p>Embed the chart into the document using "embed". This essentially embeds the Javascript code, necessary to make it interactive.</p>
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<p>Embed the chart into the document using "embed". This essentially embeds the JavaScript code, necessary to make it interactive.</p>
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‎_posts/ipython-notebooks/2d-kernel-density-distributions.ipynb

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"This notebook was contributed by [Plotly user Emilia Petrisor](https://plot.ly/~empet). You can follow Emilia on Twitter [@mathinpython](https://twitter.com/mathinpython) or [Github](https://github.com/empet)."
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"This notebook was contributed by [Plotly user Emilia Petrisor](https://plot.ly/~empet). You can follow Emilia on Twitter [@mathinpython](https://twitter.com/mathinpython) or [GitHub](https://github.com/empet)."
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‎_posts/ipython-notebooks/bezier.ipynb

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"This notebook was contributed by [Plotly user Emilia Petrisor](https://plot.ly/~empet). You can follow Emilia on Twitter [@mathinpython](https://twitter.com/mathinpython) or [GitHub](https://github.com/empet). "
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"###### Install with pip, <code>sudo pip install colorlover</code> Code and documentation on <a href=\"https://github.com/jackparmer/colorlover\" target=\"_blank\">Github</a>"
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"###### Install with pip, <code>sudo pip install colorlover</code> Code and documentation on <a href=\"https://github.com/jackparmer/colorlover\" target=\"_blank\">GitHub</a>"
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‎_posts/ipython-notebooks/density-of-states .ipynb

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"This notebook was contributed by plotly user [Germain Salvato-Vallverdu](https://plot.ly/~gvallverdu). You can follow him on [Github](https://github.com/gVallverdu?tab=activity) or visit [his webpage](http://gvallver.perso.univ-pau.fr/)."
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"This notebook was contributed by plotly user [Germain Salvato-Vallverdu](https://plot.ly/~gvallverdu). You can follow him on [GitHub](https://github.com/gVallverdu?tab=activity) or visit [his webpage](http://gvallver.perso.univ-pau.fr/)."
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‎_posts/ipython-notebooks/scoreboard-republican-candidates.ipynb

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"This notebook was contributed by [Plotly user Emilia Petrisor](https://plot.ly/~empet). You can follow Emilia on Twitter [@mathinpython](https://twitter.com/mathinpython) or [GitHub](https://github.com/empet)."
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