decimal — Decimal fixed-point and floating-point arithmetic
decimal — Decimal fixed-point and floating-point arithmetic¶ Source code: Lib/decimal.py The decimal module provides support for fast correctly rounded decimal floating-point arithmetic. It offers several advantages over the float datatype: Decimal “is based on a floating-point model which was designed with people in mind, and necessarily has a paramount guiding principle – computers must provide
Floating Point Math
Floating Point Math Your language isn’t broken, it’s doing floating point math. Computers can only natively store integers, so they need some way of representing decimal numbers. This representation is not perfectly accurate. This is why, more often than not, 0.1 + 0.2 != 0.3. Why does this happen? It’s actually rather interesting. When you have a base-10 system (like ours), it can only express fr
14. Floating Point Arithmetic: Issues and Limitations — Python 2.7.15 documentation
has value 0/2 + 0/4 + 1/8. These two fractions have identical values, the only real difference being that the first is written in base 10 fractional notation, and the second in base 2. Unfortunately, most decimal fractions cannot be represented exactly as binary fractions. A consequence is that, in general, the decimal floating-point numbers you enter are only approximated by the binary floating-p
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