One of the interesting facts about writing your own parser combinators library, is that you will learn (or consolidate) other knowledges in the process, like: Functors, Applicatives and, of course, Monads, and more generaly, how to design DSL in Haskell.
Source: What's in a parser combinator?
So, how do you test the functionality of how your app responds to a web request without making an actual request and returning a response. One approach is to mock the requests and responses.
This is the first in a series of blog posts intended to provide a gentle introduction to flakes, a new Nix feature that improves reproducibility, composability and usability in the Nix ecosystem. This blog post describes why flakes were introduced, and give a short tutorial on how to use them.
Source: Nix Flakes, Part 1: An introduction and tutorial, an article by Eelco Dolstra.
Deep Learning is all about linear algebra and calculus. If you try to read any deep learning paper, matrics calculus is a needed component to understanding the concept.
Source: Matrix Calculus for DeepLearning (Part1), an article by Kiran U Kamath.