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This article mainly explains "how many bytes python floating point accounts for". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn how many bytes python floating point accounts for.

The operating environment of this tutorial: windows7 system, Python 3.9.1 Dell G3 computer.

1. Floating-point digit section

The float type occupies 4 bytes of memory and represents small numbers, with a data range of-2 ^ 128 ~ 2 ^ 128 (- 3.40E+38 ~ + 3.40E+38); the float data type is used to store single-precision or double-precision floating points.

2. Floating point number description

The float data type is used to store single-precision or double-precision floating points. Floating point is in IEE (Institute of Electrical and Electronic Engineers) format. The single-precision value of a floating-point type consists of four parts: number, Mantissa, index, and index. Because the high sequence bit of the Mantissa is always 1, it is not stored in digital form.

3. Two types of floating point numbers

The type descriptors of single precision and double precision are float single precision descriptor and double double precision descriptor. In TurboC, the single precision type occupies 4 bytes (32 bits) of memory space, the numerical range is 3.4E-38~3.4E+38, and can only provide 7 significant digits. The double precision type occupies 8 bytes (64 bits) of memory space, the numerical range is 1.7E-308~1.7E+308, and can provide 16 significant digits. Python defaults to 17-digit precision.

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