Floating Point Math

This article provides a comprehensive overview of floating-point arithmetic inaccuracies, specifically demonstrating why 0.1 + 0.2 often does not equal 0.3, across numerous programming languages and systems. It offers code examples for each language, illustrating the issue and discussing potential solutions such as using decimal types or rational numbers to maintain precision.