Bog, 2. edition, 2017
Python language basics, IPython, and Jupyter notebooks
Built-in data structures, functions, and files
arrays and vectorized computation(NumPy basics)
Getting started with pandas(NumPy basics)
Data loading, storage, and file formats(NumPy basics)
Data cleaning and preparation(NumPy basics)
join, combine, and reshape(Data wrangling)
Plotting and visualization(Data wrangling)
Data aggregation and group operations(Data wrangling)
Time series(Data wrangling)
Advanced pandas(Data wrangling)
Introduction to modeling libraries in Python(Data wrangling)
Data analysis examples(Data wrangling)
Advanced NumPy(Data wrangling)
More on the IPython system(Data wrangling)
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