https://github.com/ipython/mozfest2014
Introduction to the IPython Notebook at MozFest 2014
https://github.com/ipython/mozfest2014
Last synced: 9 months ago
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Introduction to the IPython Notebook at MozFest 2014
- Host: GitHub
- URL: https://github.com/ipython/mozfest2014
- Owner: ipython
- License: bsd-3-clause
- Created: 2014-10-10T12:54:18.000Z (about 11 years ago)
- Default Branch: master
- Last Pushed: 2014-10-26T11:50:31.000Z (about 11 years ago)
- Last Synced: 2024-10-08T11:51:40.273Z (about 1 year ago)
- Language: Shell
- Size: 2.16 MB
- Stars: 5
- Watchers: 8
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
mozfest2014
===========
Introduction to the IPython Notebook at MozFest 2014!
Please install the IPython notebook ahead of time. If you have trouble, come find us and we'll help you out!
Facilitators:
* Kyle Kelley ([@rgbkrk](https://twitter.com/rgbkrk))
* Matthias Bussonier ([@Mbussonn](https://twitter.com/Mbussonn))
* Jeramia Ory ([@DrLabRatOry](https://twitter.com/DrLabRatOry))
* Aron Ahmadia ([@ahmadia](https://twitter.com/ahmadia))
## Installation
If you're just getting started with Python, we recommend downloading and installing Continuum's [Anaconda](http://continuum.io/downloads.html) or the free edition of Enthought's [Canopy](https://www.enthought.com/downloads/).
Alternatively, there is a Docker image available with kernels for Julia, Python, and R called `ipython/mozfest2014`. It is ~3.5 GB though, so you'll need to be mindful of where you run it (boot2docker starts with a small disk). If time allows, we'll have some temporary servers up in London that will be preloaded with this image (wifi permitting).
### Upgrading
If you have IPython notebook installed already, great! We'll need IPython 2.2+ for this tutorial session, so [upgrade in your preferred way](http://ipython.org/install.html).
Anaconda:
```
conda update conda
conda update ipython
```
Enthought Canopy:
```
enpkg ipython
```
## Content
* [Introductory notebook](http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Notebook/Notebook%20Basics.ipynb)
### Notebooks of interest:
* [Data Driven Journalism](http://nbviewer.ipython.org/github/BuzzFeedNews/presidential-language-notebooks/blob/master/2014-10-presidential-address-pronouns.ipynb)
* [Introduction to Python with numpy](http://nbviewer.ipython.org/github/swcarpentry/bc/blob/gh-pages/novice/python/01-numpy.ipynb)
* [Introduction to IPython Widgets](http://nbviewer.ipython.org/github/ipython/ipython/blob/master/examples/Interactive%20Widgets/Index.ipynb)