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images
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A quick tour of IPython Notebook.ipynb
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Chapter 1 - Reading from a CSV.ipynb
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Chapter 2 - Selecting data & finding the most common complaint type.ipynb
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Chapter 3 - Which borough has the most noise complaints (or, more selecting data).ipynb
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Chapter 4 - Find out on which weekday people bike the most with groupby and aggregate.ipynb
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Chapter 5 - Combining dataframes and scraping Canadian weather data.ipynb
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Chapter 6 - String Operations- Which month was the snowiest.ipynb
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Chapter 7 - Cleaning up messy data.ipynb
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Chapter 8 - How to deal with timestamps.ipynb
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Chapter 9 - Loading data from SQL databases.ipynb
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