Floating point binary numbers

Floating point numbers can be represented using IEEE 754 in binary. This system uses one sign bit, then a set number of exponent (\(k\)) bits and finally, fraction (\(n\)) bits. Depending on the number of these bits, the representations of numbers change as well. This calculator is made with the intention of getting the largest floating point number possible as well as the largest integer. There are restrictions on the number of bits that can be checked, due to an overflow possibility in python.


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