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Book (2nd ed.)
Chapter 1: Introduction
Chapter 2: The Core Python Language I
Examples
Questions
Problems
Additional Problems
Chapter 3: Simple Plots and Charts
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Problems
Chapter 4: The core Python language II
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Problems
Additional Problems
Chapter 5: IPython and Jupyter Notebook
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Chapter 6: NumPy
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Additional Examples
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Chapter 7: Matplotlib
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Chapter 8: SciPy
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Chapter 9: Data Analysis with pandas
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Chapter 10: General Scientific Programming
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Book (2nd ed.)
Chapter 9: Data Analysis with pandas
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Problems
P9.2
P9.2.1 Antarctic ozone depletion
P9.2.2 The Oddo–Harkins rule
P9.2.3 The Hertzsprung–Russell diagram
P9.2.4 London Underground usage statistics
P9.2.5 The line spectrum of carbon dioxide
P9.3
P9.3.1 Tuberculosis rates by state in the USA
P9.3.2 Tuberculosis rates per head by state in the USA
P9.4
P9.4.1 Coloured Hertzsprung-Russell diagram
P9.4.2 Millikan's oil-drop experiment
P9.4.3 Analysing the weather in Cambridge, UK
P9.4.4 Investments over 10 years
P9.5
P9.5.1 Analysing PISA data
P9.5.2 Analysing Formula One data