A quick tour of IPython Notebook.ipynb
Chapter 1 - Reading from a CSV.ipynb
Chapter 2 - Selecting data & finding the most common complaint type.ipynb
Chapter 3 - Which borough has the most noise complaints? (or, more selecting data).ipynb
Chapter 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb
Chapter 5 - Combining dataframes and scraping Canadian weather data.ipynb
Chapter 6 - String operations! Which month was the snowiest?.ipynb
Chapter 7 - Cleaning up messy data.ipynb
Chapter 8 - How to deal with timestamps.ipynb