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Is Floating Point Arbitrary Precision Available?
In Python, the accuracy of floating point calculations can be limited, as seen in code attempting to identify Grafting numbers. To address this, a C program was created to compare precision results. The Python code incorrectly identified a Grafting number due to truncated precision when multiplying by 10**5.
To overcome the precision limitations in Python, consider using alternative modules or external libraries. The standard library's decimal module or third-party libraries like mpmath provide more precise mathematical functions.
The decimal module may exhibit slight differences in results compared to the standard math module functions, but it can offer higher accuracy at higher precisions. However, be mindful of potential discrepancies when using in-built sqrt and other mathematical functions from the decimal module.
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