Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries, 4th Edition

What makes this book different from other Python OOP books?

Each chapter discusses a case study, which can be solved using a variety of techniques that are unique to that chapter. The idea of a consistent case study with multiple solutions is a valuable part of the book. It’s very important – especially for programmers new to object-oriented design – to see multiple solutions to a problem.

We also feel unit testing is an essential ingredient that’s often omitted from a lot of writing about programming and programming languages. The entire book’s set of examples has a complete unit test suite. This even includes running the mypy tool in strict mode on all the code. In addition to talking about testing in the book, the code repository associated with the book has all the example doctests and the code unit tests for all the examples.

Additionally, we worry about an over-emphasis on object-oriented design and programming. We’ve included a chapter on functional programming techniques because these are part of Python and shouldn’t be shunned through a - possibly - mistaken bias toward class definitions.

Finally, we’ve fully embraced type annotations. We revised all the examples to make use of type hints.

Key Features: