The first instance of this tutorial was delivered at PyCon 2015 in Montréal, but I hope that many other people will be able to benefit from it over the next few years — both on occasions on which I myself get to deliver it, and also when other instructors are able to do so.
To make it useful to as many people as possible, I hereby release it
under the MIT license (see the accompanying LICENSE.txt file) and I
have tried to make sure that this repository contains all of the scripts
needed to download and set up the data set that we used. I will be
adding detailed setup instructions to this README.md file within the
next few days.
Remember that git it is not necessary to benefit from materials that
you find on GitHub — simply click the “Download ZIP” button over on the
right-hand side of the project’s front page, and all of the contents
will be delivered to you as a ZIP file instead:
https://github.com/brandon-rhodes/pycon-pandas-tutorial
For those who want to follow along with the tutorial at home, here is the YouTube recording of the 3-hour tutorial at PyCon itself:
https://www.youtube.com/watch?v=5JnMutdy6Fw
I hope that the recording and the exercises in this repository prove useful if you are interested in learning more about Python and its data analysis capabilities!