Reveal.js - Jupyter/IPython Slideshow Extension
Project description
# RISE
RISE allows you to instantly turn your Jupyter Notebooks into a slideshow. No out-of-band conversion is needed, switch from jupyter notebook to a live reveal.js-based slideshow in a single keystroke, and back.
![Basic usage](https://media.giphy.com/media/3oxHQtTxAaZwMOHr9u/giphy.gif)
## Resources RISE stands for *Reveal.js - Jupyter/IPython Slideshow Extension*:
Demo notebook (no installation required) * [![](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/damianavila/RISE/master?filepath=examples%2FREADME.ipynb)
Source code is on github <https://github.com/damianavila/RISE> * [![Issues](http://img.shields.io/github/issues/damianavila/RISE.svg)](https://github.com/damianavila/RISE/issues)
Documentation is hosted on readthedocs * [![doc status](https://readthedocs.org/projects/rise/badge)](http://rise.readthedocs.io/) * Note / check out another location here that is planned to be phased out: <https://damianavila.github.io/RISE/>
Chat room on gitter * [![Gitter chat](https://badges.gitter.im/damianavila/RISE.png)](https://gitter.im/damianavila/RISE “Gitter chat”)
Videos on youtube * basic usage (4’30’’)
## Installation
>From the most simple to the most complex one, you have 3 options:
### Option 1 - Using conda (recommended):
` conda install -c damianavila82 rise `
If you are a Julia user, you can do this from the Julia REPL with ` using Conda Conda.add_channel("damianavila82") Conda.add("rise") `
### Option 2 - Using pip (less recommended):
` pip install RISE `
and then one more step to install the JS and CSS in the proper places:
` jupyter-nbextension install rise --py --sys-prefix `
As of version 5.3.0, it is no longer required to explicitly enable the nbextension, which you would do with
` jupyter-nbextension enable rise --py --sys-prefix `
### Option 3 - The old way (are sure sure you want to go this path?):
To install this nbextension, simply run python setup.py install from the RISE repository (please use the latest tag available or try master if you want).
And then the same step as described in the pip-based installation:
` jupyter-nbextension install rise --py --sys-prefix `
### Conclusion
If you use conda, life will be easy ;-)
NOTE: in all 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 options instead in the above commands.
## Development
To install RISE in development mode, see the [Developer section](https://damianavila.github.io/RISE/dev/develop.html) of the RISE documentation.
## Feedback
If you have any feedback, or find any bugs, please let me know just opening an issue.
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