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I Explained Partial Derivatives to a Friend at Dinner. She Made Me Write It Down

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Freeze Everything, Wiggle One Thing. The Whole Subject in Six Words

In 1916, a British scientist named Lewis Fry Richardson quit his government weather job, volunteered as an ambulance driver in World War One France, and packed something odd next to his boots. His math homework.

Between shifts hauling wounded soldiers, he sat on whatever crate was available and attempted something no human had ever tried. He wanted to calculate the weather. Not look at clouds and guess. Actually compute tomorrow’s sky from physics, the way you’d compute where a cannonball lands.

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It took him six weeks of pencil arithmetic to produce a forecast covering six hours of weather over one patch of Germany.

Six weeks. Six hours. And the forecast was completely wrong.

Here’s my favorite part. He published it anyway. His book even included a fantasy he called the “forecast factory,” a giant round hall where 64,000 people with calculators would crunch tomorrow’s weather together in real time, conducted from a central podium like an orchestra. People found him charming and a little unhinged. What he’d actually done was describe a supercomputer thirty years before computers existed. Today’s weather models still run on his equations.

So why am I telling you this? Because the math Richardson was grinding through, hour after…

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I write about machine learning, deep learning, and statistics with Python, making complex ideas ridiculously clear.

Data Science Collective
Data Science Collective

Published in Data Science Collective

Advice, insights, and ideas from the Medium data science community