When writing programs, you may find that processing becomes heavy without you realizing it, or that it suddenly stops due to insufficient memory. Especially when handling large amounts of data, you ...

If you’ve ever written any Python at all, the chances are you’ve used iterators without even realising it. Writing your own and using them in your programs can provide significant performance ...

This repository contains learning materials and examples to help you understand Generators and Decorators in Python — two powerful concepts for building efficient and elegant Python programs.

Comprehensions are a concise syntax for creating data structures such as lists, dictionaries, and sets. Using comprehensions allows you to write loops and conditions in a single line, improving ...

Learn how Mypy's type checking works with functions and generators. In my last two articles I've described some of the ways Mypy, a type checker for Python, can help identify potential problems with ...