Plurrrr

Podman is an excellent alternative to Docker containers when you need increased security, unique identifier (UID) separation using namespaces, and integration with systemd. In this article, I use real-world examples to show you how to install Podman, use its basic commands, and transition from the Docker command-line interface (CLI) to Podman. You’ll also see how to run an existing image with Podman and how to set up port forwarding.

In the Deep Learning (DL) age, more and more people have encountered and used (knowingly or not) random matrices. Most of the time this use is limited to the initialization of the networks weights, that can be accomplished with a single line of code in your favorite DL framework. However, Random Matrices have a rich mathematical theory with far reaching applications in physics, network theory, machine learning, finance, etc. This fascinating range of applications also means that each field often developed its dedicated terminology to describe the same mathematical concept, often with confusing consequences. The aim of this article(s) is to introduce Random Matrix Theory (RMT) from a physicist's perspective while trying to relate different tools and terminology, especially across the math and physics literature. Although you do need to know basic calculus, I will try to introduce new concepts and give references in case you would like to go deeper.

Since arrow functions were introduced in ES6, they have become increasingly popular, changing the look and function of regular functions.

I love arrow functions; I use them all the time. In fact, they have grown so popular that you rarely see the function keyword anymore, though I can assure you it is still used. I almost always use arrow functions in place of the function keyword.

This is a short guide about Javascript arrow functions.

An ancient prophecy seems to be coming true when a mysterious presence begins stalking the corridors of a school of magic and leaving its victims paralyzed.