math-skill-system

Use SymPy's solve function with symbolic variables to get exact analytical answers instead of numeric approximations. Define symbols with sp.Symbol, build equations with sp.Eq, and call sp.solve to find intersections, roots, or limits.

Use the big.js library for arbitrary-precision decimal arithmetic instead of native floats. The included TypeScript calculator evaluates expressions like 0.1 + 0.2 exactly as 0.3, avoiding IEEE 754 representation errors.

A result is statistically significant when p < 0.05, meaning there is under a 5% chance the observed difference came from random noise. Do not declare a winner in an A/B test based on raw averages alone.

No, standard floats cannot represent decimals like 0.1 exactly, causing errors such as 0.1 + 0.2 != 0.3. Store currency as integer cents or use Decimal types such as Python's decimal.Decimal or rust_decimal.

Without warmup, you measure JIT compilation speed rather than execution speed. Run both algorithms about 1,000 times before timing, then use batched samples with outlier removal to measure standard deviation reliably.