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How Integers and Floats Work
The way your computer does math is pretty weird. 4294967295 + 1 = 0! 0.1 + 0.2 = 0.30000000000000004! -2 in binary is 11111110! And what’s all this jargon? Unsigned integer? Little endian? Hexadecimal? This makes math seem unpredictable, which is very rude because math is the one thing in life that should be predictable.
Of course, the way computers do math is predictable — it just plays by slightly different rules than you might expect. And understanding how your computer does math unlocks a lot of things! You’ll:
know the limitations of your data types (“Oh, I should use a 64-bit integer for this, not a 32-bit int…” or “it’s fine to use a float here because…”)
be able to reason about WHY your computer is doing weird stuff with numbers (for example: why does echo '{ "id": 1648521499652009984 }' | jq '.' change the number from 1648521499652009984 to 1648521499652010000?)
unlocks a whole world of binary data and technical specifications you can read more easily (like Wireshark’s packet visualizations!)
And the way integers and floats are represented isn’t going to change (floating point was standardized in 1985!), so you only have to learn it once.
This zine will explain:
the jargon: signed/unsigned, little/big endian, 32 bit, bytes, hexadecimal, and more
why floating point math is so weird (and why a little weirdness is inevitable)
how integers and floats are represented in memory
exactly how floating numbers work, down to the binary representation
some alternatives to floating point
The zine also comes with a playground called memory spy where you can run programs and spy on the integers and floats in their memory.
Of course, the way computers do math is predictable — it just plays by slightly different rules than you might expect. And understanding how your computer does math unlocks a lot of things! You’ll:
know the limitations of your data types (“Oh, I should use a 64-bit integer for this, not a 32-bit int…” or “it’s fine to use a float here because…”)
be able to reason about WHY your computer is doing weird stuff with numbers (for example: why does echo '{ "id": 1648521499652009984 }' | jq '.' change the number from 1648521499652009984 to 1648521499652010000?)
unlocks a whole world of binary data and technical specifications you can read more easily (like Wireshark’s packet visualizations!)
And the way integers and floats are represented isn’t going to change (floating point was standardized in 1985!), so you only have to learn it once.
This zine will explain:
the jargon: signed/unsigned, little/big endian, 32 bit, bytes, hexadecimal, and more
why floating point math is so weird (and why a little weirdness is inevitable)
how integers and floats are represented in memory
exactly how floating numbers work, down to the binary representation
some alternatives to floating point
The zine also comes with a playground called memory spy where you can run programs and spy on the integers and floats in their memory.
28 pages, Unknown Binding
First published June 21, 2023
2 people want to read
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Displaying 1 - 3 of 3 reviews
July 9, 2023
Another great zine from Julia. Short and concise, straight to the point. Taking another complex computer concept and explaining it in a way that anyone can understand.
January 1, 2024
Gran explicación sobre cómo se almacenan y funcionan los número en las computadoras, te ayuda a comprender muchas cosas que te pueden ayudar en el futuro.
December 1, 2025
Wonderfully inviting and informative as always. It's a joy to learn about complex computer things with Julia. Can't wait for the next one!
Displaying 1 - 3 of 3 reviews