Mixin classes enable isolated, reusable functionality for Python classes by composing behavior through multiple inheritance. Mixins allow modular design, selective composition of behavior, and reduced code duplication. Python offers alternatives to classes such as plain functions, modules, and simple data structures when a class is unnecessary. Asyncio contains sharp corners like cancellation and disappearing tasks that require careful handling. JIT builds of CPython alter how code runs at runtime and can be understood without deep compiler expertise. Community resources include web-based GUI libraries, quick list-query utilities, surveys, news roundups, and courses teaching SOLID and OOP best practices.
Christopher covers a recent Real Python tutorial about developing mixin classes to reuse code across multiple Python classes. He describes how mixins rely on multiple inheritance to combine features from different classes, enhancing flexibility and code reuse.
We also share several other articles and projects from the Python community, including a news roundup, highlights from the 2024 Python Developers Survey, reasons you might not need a Python class, an exploration of asyncio's sharp corners, an explanation of how JIT builds of CPython work, a web-based GUI library, and a project for quickly querying Python lists.
Course Spotlight: Design and Guidance: Object-Oriented Programming in Python In this video course, you'll learn about the SOLID principles, which are five well-established standards for improving your object-oriented design in Python. By applying these principles, you can create object-oriented code that's more maintainable, extensible, scalable, and testable.
Collection
[
|
...
]