Hello! On Wednesday I was talking to a friend about how it would be cool to have an nginx playground website where you can just paste in an nginx config and test it out. And then I realized it might actually be pretty easy to build, so got excited and started coding and I built it. It’s at https://nginx-playground.wizardzines.com.
Source: New tool: an nginx playground, an article by Julia Evans.
Python has a great ecosystem for machine learning, but deep learning is computationally intensive and Python is slow. In this post, I will discuss different ways that helped to make my code run faster, more specifically in physics simulation and reinforcement learning for character animations. Nevertheless, most of the tips are applicable to all computationally intensive programs.
With that, here are the 7 ways to make any Python code run faster:
Source: Make Python Run Faster: A Machine Learning Perspective.
Recently, I have been spending a lot of time working with Go. While helping other developers I noticed that many struggled with encoding and decoding JSON. In this guide I cover a lot of the common issues developers run into and how to solve them.
Source: Go and JSON: Tags, Empty Strings and Nil Values, an article by Markus Tenghamn.
MySQL has a feature known as replication where data from one database server (referred to as the source or primary) is copied to other database servers (replicas). Conceptually, it’s pretty straight forward. All of your data mutations (INSERT, UPDATE, DELETE, ALTER, etc.) are done against the primary database. Those commands are then copied and applied to the replicas.
Source: How Replication Works in MySQL, an article by Ryan Siemens.