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Merge pull request #357 from SylvainCorlay/voila
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Add voila to website
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afshin authored Dec 26, 2019
2 parents 8a0632d + bb03430 commit cb7dfee
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19 changes: 8 additions & 11 deletions css/logo-nav.css
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Expand Up @@ -470,20 +470,17 @@ body {
}

.greydout {
-moz-opacity: .065;
-webkit-opacity: 0.065;
opacity: 0.65;
-webkit-transition: all .5s ease;
-moz-transition: all .5s ease;
-ms-transition: all .5s ease;
-o-transition: all .5s ease;
transition: all .5s ease;
-webkit-transition: all .05s ease;
-moz-transition: all .05s ease;
-ms-transition: all .05s ease;
-o-transition: all .05s ease;
transition: all .05s ease;
}

.greydout:hover {
-webkit-opacity: 1;
-moz-opacity: 1;
opacity: 1;
-webkit-opacity: 0.65;
-moz-opacity: 0.65;
opacity: 0.65;
}

/* JupyterHub section on front page */
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26 changes: 24 additions & 2 deletions index.html
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Expand Up @@ -148,8 +148,30 @@ <h4>Code meets data</h4>
</div>
</div>
</section>
<section id="current-use">
<section id="voila">
<div class="section-white">
<div class="voila-preview">
<div class="container">
<div class="row">
<div class="col-md-6">
<img class="img-responsive" src="assets/voilapreview.png" id="portal" alt="examples of Voilà dashboards"/>
</div>
<div class="col-md-6 nb-highlight-text">
<h3>Communicate your results with Voilà.</h3>
<h4 class="nb-desc">
Voilà helps you communicate insights, by transforming a Jupyter Notebook into a stand-alone web application you can share. It gives you control over what your readers experience in a secure and customizable interactive dashboard.
</h4>
<div class="button-container">
<a class="orange-button install-button" href="install.html">Install Voilà</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section id="current-use">
<div class="section-grey">
<div class="container">
<div class="row">
<h3 class="section-header">Currently in use at</h3>
Expand Down Expand Up @@ -188,7 +210,7 @@ <h3 class="section-header">Currently in use at</h3>
</div>
</section>
<section id="architecture">
<div class="section-grey">
<div class="section-white">
<div class="container">
<div class="architecturedescription">
<img src="assets/architectureicon2.svg" class="section-icon" alt="icon to represent jupyter architecture">
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24 changes: 24 additions & 0 deletions install.md
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Expand Up @@ -37,6 +37,7 @@ While Jupyter runs code in many programming languages, Python is a requirement
(Python 3.3 or greater, or Python 2.7) for installing the JupyterLab or the classic Jupyter Notebook.

### Installing Jupyter Notebook using Anaconda

We **strongly recommend** installing Python and Jupyter using the [Anaconda Distribution](https://www.anaconda.com/downloads),
which includes Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science.

Expand All @@ -53,6 +54,7 @@ jupyter notebook
See [Running the Notebook](https://jupyter.readthedocs.io/en/latest/running.html#running) for more details.

### Installing Jupyter Notebook with pip

As an existing or experienced Python user, you may wish to install Jupyter using Python’s package manager, pip, instead of Anaconda.

If you have Python 3 installed (which is recommended):
Expand All @@ -77,3 +79,25 @@ jupyter notebook
```

See [Running the Notebook](https://jupyter.readthedocs.io/en/latest/running.html#running) for more details.

## Getting started with Voilà

### Installation

Voilà can be installed using `conda` or `pip`. For more detailed instructions, consult the [installation guide](https://voila.readthedocs.io/en/stable/install.html).

### conda

If you use `conda`, you can install it with:

```shell
conda install -c conda-forge voila
```

### pip

If you use `pip`, you can install it with:

```shell
pip install voila
```

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