The Monte Carlo Method @RandomMathsInc
The Monte Carlo Method  @RandomMathsInc
Uploaded August 2017 | Updated September 2026, 2 hours ago
RandomMathsInc is back after a long break, and today we talk about approximations using the Monte Carlo Method. Featuring random numbers and coding with Python.

Footnotes:
1 - If you want to know more about Monaco, wait until Geography Now makes a video about them (they're a great channel, you should check them out if you haven't already).
2 - Most of the time, rather than using truly random numbers, computers will use pseudorandom numbers (see en.wikipedia.org/wiki/Pseudorandom_number_generator). They aren't actually random, but looks random enough to us and is random enough for the Monte Carlo Method.
3 - Have you seen our Pi Day video this year? That problem was solved with the Monte Carlo Method: youtu.be/9r45ADGHK5s

Some pictures I used:
upload.wikimedia.org/wikipedia/commons/thumb/f/f8/Whole_Monaco.jpg/1200px-Whole_Monaco.jpg
upload.wikimedia.org/wikipedia/commons/thumb/b/b6/Monaco_location_map.svg/2000px-Monaco_location_map.svg.png
upload.wikimedia.org/wikipedia/commons/thumb/4/42/France-monaco-map.svg/2000px-France-monaco-map.svg.png
upload.wikimedia.org/wikipedia/commons/b/ba/Monte-Carlo01.gif
upload.wikimedia.org/wikipedia/commons/5/5f/RREA_Monte_Carlo_simulation.png
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The Monte Carlo Method

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