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)