Python’s built-in float type has double precision (it’s a C double in CPython, a Java double in Jython). If you need more precision, get NumPy and use its numpy.float128.
Unlike hardware-based binary floating point, the decimal module has a user alterable precision (defaulting to 28 places) which can be as large as needed for a given problem.
Python double precision example
Simple example code double length binary representation of variable compared to the binary representation of float.
from decimal import Decimal
d = Decimal(2.675)
print(d)
print(type(d))
print(float(d))
print(type(float(d)))
Output:
Comment if you have any doubts or suggestions on this Python precision topic.
Note: IDE: PyCharm 2021.3.3 (Community Edition)
Windows 10
Python 3.10.1
All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.