Python Runtime — Professional¶

At organization scale, runtime decisions are operational policy.

• Standardize supported Python versions and upgrade timelines.
• Publish base images, dependency constraints, and profiling guidance.
• Track memory, CPU, startup time, and interpreter upgrades in service scorecards.
• Evaluate alternative interpreters or free-threaded builds with workload-specific benchmarks, not claims.

The outcome is repeatable runtime behavior across developer machines, CI, and production.