The Billion-Dollar Bug: How Floating-Point Errors Sabotage Financial Systems

Standard floating-point arithmetic in Python introduces microscopic errors that remain invisible until processed at massive scale—a single fee miscalculation across millions of transactions can cascade into millions of dollars in losses. This explores IEEE 754's binary limitations and why Decimal module is essential architecture for building financial systems that handle billions of transactions without silent data corruption.