Confessions of a Code Addict

In the last video, we learned about copy-on-write (CoW) and understood its mechanics by digging inside the mmap pathway in the kernel.

In the last video, we discussed demand paging.

In the previous video in our virtual memory series, we discussed demand paging.

Welcome back to the video series on virtual memory based on my article on the same topic.

Welcome back to our series on x86 assembly programming.

This is a short aside in our virtual memory series.

This is the 5th video in our virtual memory series.

This is the fourth video in our virtual memory series based on the article/ebook I wrote.

This is the third video in the virtual memory series based on the virtual memory article/book that I wrote.

Today, in weird C code tricks, I want to show you a small example from Git’s source code.

This video is a continuation of our virtual memory series, based on the article/book I wrote on the same topic.

In my last article, I covered virtual memory in depth.

This post is almost a book-level coverage of virtual memory.

GPUs power modern deep learning models because these models rely on tensor operations, which can be efficiently parallelized on GPUs with their thousands of cores.

Welcome back to our series on x86 assembly programming.

Cover image: Depicting rdtsc, lfence and rdtscp instruction with a backdrop of a clock Performance is critical for systems programmers, and accurate benchmarking is the foundation of meaningful optimization.

The Pi release of Python (so named because it is version 3.14, matching the digits of π) is finally here.

Cover: Strong reference vs Weak Reference When working with Python (and many other languages), you often rely on the runtime to manage memory for you.

Foreword A recurring theme of this newsletter is going under the hood: how interpreters, compilers, and runtimes actually work, and what performance trade‑offs they force on us.

Cover: A Flamegraph highlighting performance overhead due to system calls System calls are how user programs talk to the operating system.

Performance engineering can be deeply mysterious.

Big O vs Hardware In algorithm design, we often rely on time complexity to compare solutions.