NumPy numerical types

Python has an integer type, a float type, and complex type; nonetheless, this is not sufficient for scientific calculations. In practice, we still demand more data types with varying precisions and, consequently, different storage sizes of the type. For this reason, NumPy has many more data types. The bulk of the NumPy mathematical types end with a number. This number designates the count of bits related to the type. The following table (adapted from the NumPy user guide) presents an overview of NumPy numerical types:

Type	Description
bool	Boolean (True or False) stored as a bit
inti	Platform integer (normally either int32 or int64)
int8	Byte (-128 to 127)
int16	Integer (-32768 to 32767)
int32	Integer (-2 ** 31 to 2 ** 31 -1)
int64	Integer (-2 ** 63 to 2 ** 63 -1)
uint8	Unsigned integer (0 to 255)
uint16	Unsigned integer (0 to 65535)
uint32	Unsigned integer (0 to 2 ** 32 - 1)
uint64	Unsigned integer (0 to 2 ** 64 - 1)
float16...