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Reveal.js - Jupyter/IPython Slideshow Extension

Project description


**Reveal.js - Jupyter/IPython Slideshow Extension**, also known as *live_reveal*


## Installation

>From the most simple to the most complex one, you have 3 options:

1 - Using conda (recommended):

conda install -c damianavila82 rise

2 - Using pip (less recommended):

pip install RISE
and then two more steps to install the JS and CSS in the proper places:

jupyter-nbextension install rise --py --sys-prefix

and enable the nbextension:

jupyter-nbextension" enable rise --py --sys-prefix

3 - The old way (are sure sure you want to go this path?):

To install this nbextension, simply run ``python install`` from the
*RISE* repository (please use the latest tag available or try master if you want).

And then the same two step described in the pip-based installation:

jupyter-nbextension install rise --py --sys-prefix


jupyter-nbextension" enable rise --py --sys-prefix

Conclusion: If you use conda, life will be easy ;-)

**NOTE**: in alll the options available the `--sys-prefix` option will install and
enable the extension in the current environment, if you want a `--user` based or a
`--system` based installation just use those option instead in the above commands.

## RISE talk

My old talk about **RISE** at *SciPy 2014* (click on the image to see it):

[![RJSE/RISE video](](

## RISElet

Coming soon... in fact it is on master but I need to explain how to use it ;-)

## About

As you know... we love **Jupyter/IPython** and we like **Reveal.js** too.

Previously, we developed a "converter" for the `nbconvert` library to
export a `ipynb` to a *STATIC* html slideshow based in **Reveal.js** library.

But with RISE, you don't have a *STATIC* version anymore, you have a **LIVE**
version! A notebook **rendered** as a **Reveal.js**-based slideshow,
where you can **execute** code or show to the audience whatever you can show/do
inside the notebook itself (but in a "slidy" way).

## Versions

1- **RISE** master branch will be following the **Jupyter** codebase.

2- There is also "released" tagged [branches](
compatible with previous IPython versions:

* 1.x tag compatible with **IPython** 1.x series
* 2.x tag compatible with **IPython** 2.x series
* 3.x tag compatible with **IPython** 3.x series
* 3.x.1 tag also compatible with `notebook` 4.x series, but using old installation mechanism
* 4.0.0b1 tag compatible with the `notebook` 4.2 and above, beta release, please test and report any issues

3- With **Jupyter** landing we will provide a conda and pip-instalable packages too

**NOTE**: We will only maintain the latest released version.

## Usage

In the notebook toolbar, a new button ("Enter/Exit Live Reveal Slideshow")
will be available.

In the notebook menu, the "View" option contains a "Cell Toolbar" sub-menu that gives
you access to the metadata for each cell. If you select the Slideshow preset, you
will see in the right corner of each cell a little box where you can select
the cell type (similar as for the static reveal slides with nbconvert).

Some notes:

1- Use ``spacebar`` to go forward and ``shift+spacebar`` to go backward (or the
visual controller in the slideshow right bottom corner). ``Up`` and ``down`` arrows are reserved to
interact with notebook cells and cannot be used to navigate the slides, instead
you can use ``pgup`` and ``pgdown``.

2- You can know more about the reveal-specific shortcuts just pressing the help
button at the slideshow left bottom corner.

3- In contrast to the traditional Jupyter notebook, the ``Shift-Enter``
shortcut does not select the next cell, but will only run the cell (same as
``Ctrl-Enter``). This is intentional to not switch slides by running a cell
and because some problem arises when you inject new cells on the fly.
When you exit the presentation mode, the behavior comes back to normal.

4- Darkish themes have css conflict with the notebook css, so it need customization
to make them work (not provided by default).

## Configure your own options

You can configure the `theme`, the `transition`, and from where the slideshow starts with:

from traitlets.config.manager import BaseJSONConfigManager
path = "/home/damian/miniconda3/envs/rise_latest/etc/jupyter/nbconfig"
cm = BaseJSONConfigManager(config_dir=path)
cm.update('livereveal', {
'theme': 'sky',
'transition': 'zoom',
'start_slideshow_at': 'selected',

`path` is where the `nbconfig` is located (for possible different locations,
depending on where did you "install" and "enable" the nbextension, check this docs: and

With these options, your slides will get the `serif` theme and the
`zoom` transition and the slideshow will start from the selected cell (instead
of from the beginning, which is the default).

You can use a similar piece of python code to change the `width` and
`height` of your slides:

cm.update('livereveal', {
'width': 1024,
'height': 768,

Or to enable a right scroll bar for your content exceeding the slide vertical height with:

cm.update('livereveal', {
'scroll': True,

There are also options for `controls`, `progress`, `history`, `minScale` and

**Note**: The use of the `minScale` option (values other then `1.0`) can cause
problems with codemirror.

### Alternative configuration method
You can put reveal.js configuration in your notebook metadata (Edit->Edit Notebook Metadata) like this:
"livereveal": {
"theme": "serif",
"transition": "zoom",
"kernelspec": {...}

## Usage with Leap Motion

**Reveal.js** supports the [Leap Motion]( controller.
To control RISE slides with the Leap, put the
[reveal leap plugin options](
in your config by running this Python code:

cm.update('livereveal', {
'leap_motion': {
'naturalSwipe' : True, # Invert swipe gestures
'pointerOpacity': 0.5, # Set pointer opacity to 0.5
'pointerColor' : '#d80000',# Red pointer

To disable it:

cm.update('livereveal', {'leap_motion': None})

## Development

You can install RISE in development mode in this way:

git clone
pip install -e .
jupyter-nbextension install rise --py --sys-prefix --symlink
jupyter-nbextension enable rise --py --sys-prefix

Note for developers: the --symlink argument allow you to modify the JavaScript code in-place.
This feature is probably not available in Win. So you will need to "re-install" the nbextension
to actually see any changes you made.

To build the CSS assets, you'll need to install `npm` (and `node`).

npm install
npm run build

To have per-save automatic building of CSS, use:
npm run watch-less

## Changelog

Lazy changelog:

## Feedback

If you have any feedback, or find any bugs, please let me know just opening
an issue.



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