v0.0.3

Version: v0.0.3

Enhancement: Improved numeric type handling in range checks (Issue #2 )

This release addresses issue #2 by implementing a hybrid method for identifying numeric data types across pandas, NumPy, and Python. This enhancement ensures accurate min and max range checks, even when encountering values like numpy.int64, numpy.float32, or similar data types. Previously, these data types could lead to false negatives in identifying minimum range errors.

Benefits:

More robust and accurate range checks
Improved data validation across various numeric data types
Reduced potential for false negatives in range error detections