The data analysis is documented in Python Data Science Toolbox (Part 1).ipynb. The lecture notes and the raw data files are also stored in the repository. The summary of the content is shown below:
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Writing functions: write simple functions, or functions that accept multiple arguments and return multiple values.
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Default arguments, variable-length arguments and scope: write functions with default arguments, or variable-length arguments.
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Lambda functions and error-handling: write lambda functions and handle errors.