Description
Runs Python benchmarks with controls that make timing results easier to compare. It helps developers measure performance changes, collect repeated runs, and reduce noise before deciding whether code became faster or slower.
Benchmark numbers can be misleading when the system is busy or configured differently. Use consistent hardware, Python versions, and workloads before drawing conclusions.