Functional Python Programming: Use a functional approach to write succinct, expressive, and efficient Python code, 3rd Edition

What’s new in this edition of the book?​

We’ve covered a few new packages, toolz and pyrsistent, that are often helpful for writing functional programs.​

We’ve expanded the coverage of immutable data structures to include NamedTuple and frozen @dataclass classes. This includes using the pyrsistent module for immutable objects that can evolve by emitting an object of the same class in a revised state.​

You’ll also find examples of the new match statement, which has type-matching features often used in other functional languages. All type hints have been revised to match Python 3.10 definitions, following PEP-585. Finally, a complete set of exercises have been added to each chapter.​

All of the example code is unit tested, and provided in the GitHub repository for the book. This process works by examining all of the code and console examples in the book’s source and placing the code into a context where it’s testable. There are about 250 test cases for the examples.​

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