Python’s asynchronous programming functionality, or async for short, allows you to write programs that get more work done by not waiting for independent tasks to finish. The asyncio library included ...

Many Pythonistas are familiar with using decorators, but far fewer understand what’s happening under the hood and can write their own. It takes a little effort to learn their subtleties but, once ...

Take dynamic typing as an example. It seems amazing at first: Python literally figures out by itself what sort of value a variable might take, and you don’t need to waste another line of code by ...

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...