Is it easier to understand generators by imagining them as "cooking one dish at a time only after an order is placed"? I will explain what this means while looking at actual code. ESP32 runs ...

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 ...

#generators are much more performant than lists. (i.e range > list in performance.) #So generators are really, really useful when calculating large sets of data.

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.