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
Chapter 9 - Loading data from SQL databases.ipynb