1d ago · 3 min read · Understanding Contextual Bandits Contextual bandits are a sophisticated reinforcement learning approach that combines the exploration-exploitation dilemma, allowing algorithms to make decisions based on contextual information. They have broad applica...
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2d ago · 6 min read · Have you ever tried converting a photograph or illustration to pure black and white — not grayscale, but literally just black or white pixels? If you have, you know the result is usually garbage. I hit this exact problem a few weeks ago. I was buildi...
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4d ago · 3 min read · Crossword Puzzles as Constraint Satisfaction: A Beginner’s Tour of Backtracking If you’ve ever spent a Sunday morning hunched over a newspaper, you know the specific frustration of a crossword puzzle. You have a grid, a set of clues, and a naggin...
Join discussion4d ago · 5 min read · Wordle Heuristics: Information Theory vs. Positional Frequency vs. Learned Models When Wordle exploded in popularity in early 2022, it wasn't just a daily ritual for millions; it became a playground f
Join discussion4d ago · 4 min read · Build a word finder in 60 lines of JavaScript: the data-structure tour Building a word finder is a rite of passage for developers. It seems simple—just find words that match a set of letters—but i
Join discussionApr 21 · 12 min read · Fast and Slow Pointer Pattern: How to Recognize It and Use It in Interviews AI changed the interview conversation, but it didn't kill technical assessments. CoderPad reports that technical assessments on its platform grew 48% globally since mid-2026,...
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Apr 15 · 2 min read · How fast algorithms grow Day 111 of 149 👉 Full deep-dive with code examples The Cooking Analogy Imagine cooking dinner: Cook for 1 person: about the same amount of time Cook for 2 people: still about the same (make a bigger portion) Cook for 100 p...
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