Nothing is hard once you have seen it happen.
96 explainers on maths, code, statistics and the systems behind everyday tech — each one built around a real example you already understand.
Binary search
A search algorithm that locates a target value within a sorted array by repeatedly halving the search interval, running in O(log n) time.
Think of a number between 1 and 100. I guess 50 — too low. I guess 75 — too high. Every guess throws away half of what is left, so I have you in seven guesses. Always seven. That is the whole algorithm.
Read the full explainer →Normal distribution
A continuous probability distribution that is symmetric about its mean, with density decaying exponentially as values move away from the centre.
Line up 500 strangers by height. The middle bulges, both ends thin out, and nobody is 3 feet or 9 feet tall. That bell shape is not a coincidence — it is what happens whenever many small random effects add up.
Read the full explainer →REST API
An architectural style in which clients act on addressable resources through stateless HTTP methods, with each request carrying all the context it needs.
Your weather app says GET /cities/shimla/today. A server somewhere replies with a small box of numbers. Then it forgets you completely. Ask again tomorrow and you have to re-introduce yourself — that is what "stateless" means.
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Five tracks, one method. Switch between them — the reading list changes, the plain-English approach does not.
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Same four moves, whether the topic is AVL trees or the normal distribution. The order matters — the example lands before the notation does.
Say it in plain words
No notation yet. Just what the idea is for and what problem it fixes.
Show it happening
A situation from real life — a queue, a lottery ticket, a phone lock, a delivery route.
Walk the numbers
Now the formula, applied step by step to the example you just read. Nothing skipped.
Check yourself
A short quiz at the end, with the reasoning revealed — not just the right letter.
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Latest lessons
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Every time something new goes up — a proof made obvious, an algorithm shown as a guessing game, a statistic that finally clicks — you get it first.
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Tokens, embeddings, hallucinations, fine-tuning — explained the same way as everything else here: with a concrete example first and the jargon second.
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