Significant new coverage of Data Class Builders and updated mapping/set behaviors.
The foundation of fluency in Python is understanding its "Data Model," which describes the API that you use to make your own objects play nicely with the language's built-in features. This is primarily achieved through .
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Use Python's built-in cProfile and timeit modules to verify the performance claims made in the book regarding lists, deques, and dicts.
If you search GitHub using these keywords, you will primarily find two types of repositories: Official Companion Code Significant new coverage of Data Class Builders and
One of the toughest hurdles for developers is mastering concurrency. Fluent Python meticulously breaks down the differences between:
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: Enables standard bracket slicing and indexing ( obj[0] ) on custom objects.
The primary repository containing all script examples from the 2nd edition.
Community-maintained Jupyter notebooks that allow you to interactively run and test the book's examples. Fluent.Python.2nd.Edition.(z-lib.org).pdf - GitHub