Series Index
Structured learning paths designed to take you from foundational theory to implementation-ready engineering.
Data Science with Python
Learn data science with Python through a beginner-friendly path covering environment setup, pandas data cleaning, and exploratory data analysis.
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Expected Riches and Expensive Lessons
A data science series using Python, resampling, simulation, and hypothesis testing to analyze slot RTP, bonus frequency, payout concentration, and volatility.
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Finding P values and false hope
From simple bets to complex bond portfolios. Explore the mathematical structures of uncertainty, debt mechanics, and the Python tools used to model them.
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From Silicon to Shell: Building an OS for ARM and More
A bare-metal journey from a powered-on AArch64 CPU to a working interactive shell. Thirteen chapters of writing a kernel from scratch — bootloader, MMU, interrupts, allocator, processes, syscalls, filesystem, and a Rust no_std module — all running on QEMU's virt machine.
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From Transistor to System: A Friendly Guide to Computer Architecture
Learn how computers work from transistors and logic gates to ALUs, control units, memory, instruction execution, I/O, GPUs, multicore CPUs, and SoCs.
7
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The Tough Love Architecture Guide
Stop pattern-worshipping and start solving problems. A cynical but practical journey through software design, incremental refactoring, and high-performance systems.
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