In this recipe, we will give an introduction to IPython and Jupyter for data analysis. Most of the subject has been covered in the prequel of this book, Learning IPython for Interactive Computing and Data Visualization, Second Edition, Packt Publishing, but we will review the basics here.
We will download and analyze a dataset about attendance on Montreal's bicycle tracks. This example is largely inspired by a presentation from Julia Evans (available at https://github.com/jvns/talks/blob/master/2013-04-mtlpy/pistes-cyclables.ipynb). Specifically, we will introduce the following: