Python Benchmarking Best Practices

You can help to ensure benchmark results are reliable, stable, and useful by following benchmarking best practices. This includes isolating the code and the execution environment and using benchmarking functions that are high-precision, non-adjustable, and monotonic. It also includes less obvious factors such as repeating benchmarks reporting summary statistics and warming up target code before […]