In this article, I’ll look at the success stories of Haskell in areas like finance, blockchain, education, the automotive industry, and developer tooling. I’ll explain why large companies decide to use Haskell and what seems to me to be the future of the language.
Source: 11 Companies That Use Haskell in Production, an article by Gints Dreimanis.
This is a series of brief articles aimed at teaching Emacs to computer professionals who are unfamiliar with it. I do not dwell on the basics of the user interface, which can be learned from the built-in tutorial. Instead, each article in this series will distill one very specific command line (CLI) tool or technique that Linux/UNIX users often use, and describe an equivalent function or technique in Emacs. The tool or technique discussed will be specific enough that the whole article can explain the concept in around 1000 words, and will provide examples, or specific actions to be taken. The goal is to have a list of recipes that Linux users can search and find quickly, and read through in just a few minutes, to learn the most useful ways of using Emacs to solve day-to-day problems.
Source: Emacs for Professionals, an article by Ramin Honary.
Following my article yesterday demonstrating with synthetic tests that Activity Monitor’s CPU % and Energy measurements are misleading, today I show how you can get accurate estimates of power and energy use, and how the E cores in M1 chips can be far more efficient than the P cores. Today’s compression task required less than a third of the energy when run on the E cores, than on the P cores.
Source: Running tasks on E cores can use a third of the energy of P cores, an article by Howard Oakley.