Understanding Python's default floating-point behavior
This is an easy language-knowledge question that tests your familiarity with how Python handles floating-point representation and arithmetic. It's a quick sanity check on whether you understand the practical limits and quirks of floating-point numbers in the language you'll be coding in during interviews.
The question asks you to trace through a code snippet and predict its output. Success depends on knowing Python's default float precision, how operations like arithmetic or comparison behave on floats, and when you might encounter unexpected results due to binary representation. These details matter in quantitative work, where small numerical errors can compound across large portfolios or high-frequency calculations.
- IEEE 754 double-precision representation
- Rounding and precision limits
- Floating-point equality and comparison