Drops

Have you ever seen the term yield from in some Python code and wondered what it was? In this article we will delve even deeper into generators and understand, with examples, what yield from means and how we can use it to make our code even more efficient.

Did you know that you can create an infinite sequence without having memory problems and still consume this sequence in any way you want? Today we will see a specific function of the itertools standard library module, the islice, and see how can it be used to create the Fibonacci infinite sequence in Python.

Regular expressions (or, shortly, regex) are a language that detects patterns. You express a pattern that will be applied to strings. It is an efficient way to find patterns and extract information from texts. Within this pattern, each symbol represents a type of information. In this article, we will see the main symbols and their meanings with the help of several examples.

A significant part of our time is spent dealing with strings, so it is important to know how to present them in the desired way. This is what we will see in this article with several examples.

Do you know the difference between a “normal” function and a generator function in Python? What is the difference between the return of a usual function and the yield of a generator? In this article we will answer these questions and also delve into some aspects of the language

Do you know what an iterable is? And an iterator? How to recognize these structures in Python? Answering these questions is the goal of this article.