Reading List
This page is auto-generated from Github Actions workflow that runs every day at night and fetches the 5 latest articles from each of my favorite blogs.
This page is auto-generated from Github Actions workflow that runs every day at night and fetches the 5 latest articles from each of my favorite blogs.
Monte Carlo simulations (or methods) is the technique of applying randomness and the Law of large numbers to the solution of various scientific and engineering problems. One of its first documented uses was by Stanislaw Ulam and John von Neumann for nuclear weapon simulations aft...
“Write tests… first? That sounds backwards.” I know exactly what you mean, but stay with me. This is going somewhere… backwards, and in high heels!
Today we’re going to take a look at the Go toolchain, and more specifically at how we can take part in the compilation process with our own code. We won’t patch the compiler. We’ll stand right next to it while it works, watch what it does, and every now and then...
Go 1.27 introduces experimental arch-specific SIMD vector APIs
"Wuthering Heights" by Emily Brontë - good writing, but the protagonists are quite something. There's barely a likable character in the whole story - they are all either crazy, evil, stupid or a combination of these. It's also remarkable to consider how small the worl...
Over the last two articles we went through everything needed to run a model: an SDK that runs inference, and a management layer that downloads models, sizes them for your hardware and loads them. You can use the SDK directly from your Go code, but one of the most popular ways o...
Like many programmers, I find Alexis King's Parse, don't validate article fascinating, because it gives a name to an idiom that seems familiar and important - one I've observed and used in the past without naming it explicitly. This post is a review of the "Parse, don't vali...