Ever wonderment why computers struggle pinch basal math? This video explores a monolithic people of package bugs from the early 2000s that allowed group to make existent money retired of bladed air. As early integer costs systems and banks rushed to digitize, engineers relied connected modular floating-point numbers to process currency. However, because computers usage binary (Base 2) alternatively than decimal (Base 10), definite fractions for illustration $0.1$ and $0.2$ cannot beryllium represented exactly—leading to minuscule rounding errors. Video created by @aniakubow ❤️ Support for this transmission comes from our friends astatine Scrimba – the coding level that's reinvented interactive learning: https://scrimba.com/freecodecamp 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to codification for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles connected programming: https://freecodecamp.org/news
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Why Computers Can’t Count Money
by Adi Gunawan 1 min read
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