/PyDataDC2016-PandasFromTheInside

Tutorial session from PyData Washington DC, Fri 7 October 2016

Primary LanguageJupyter NotebookGNU General Public License v3.0GPL-3.0

Pandas from the Inside

Tutorial session from PyData Washington DC, Friday 7 October 2016.

If you want to follow along the examples on your own laptop, please have the latest versions of Python3, Pandas and IPython installed. If you don't have Python already, the easiest route is via the full Anaconda Python distribution (300MB). Details are at http://conda.pydata.org/docs/installation.html.

The main files are:

  • pfi.pdf or pfi.pptx- Presentation slides. As some slides are quite detailed, you may want to download these to follow along on your own laptop/tablet.

  • Pandas from the Inside (PyData DC).ipynb - Jupyter notebook with code from the slides plus some further explanation. Download this if you have Jupyter installed on your laptop. Otherwise you can view the rendered notebook here on GitHub.

  • pfi.py - Code in the Jupyter notebook.

  • bg3.txt - Sample data file from http://afltables.com/afl/stats/biglists/bg3.txt. A copy is included in this repo for your convenience.