Python Decorators Explained With Real Code
Decorators stop being magic when you see them as functions that take functions and return functions. That's the whole trick.
Pythonic patterns, performance, packaging, async, type-hints. Real working examples for builders.
Decorators stop being magic when you see them as functions that take functions and return functions. That's the whole trick.
Three packaging tools, three philosophies. uv is winning for speed; Poetry for ergonomics. Here's the actual decision tree.
async functions don't run concurrently by being async. They run concurrently when you await them inside an event loop. That distinction is everything.
TypedDict, Protocol, ParamSpec, Self — the hints that turn Python into a type-checked language without losing its soul.
Fixture scope, parametrization, dependency injection — pytest's fixture system is a small framework hiding inside a test runner.
Three ways to make data containers. The right pick depends on whether you trust your input.
Three frameworks, three decade-shaped trade-offs. Use this when picking the next service.
with-blocks aren't magic. They're __enter__ and __exit__. Here's how to write your own and when to.