Py-Spy

Py-Spy is a sampling profiler for Python programs that allows developers to inspect what their code is doing without modifying it or slowing it down significantly. It works by taking periodic snapshots of the Python call stack, providing insights into performance bottlenecks and CPU usage in real-time or from recorded data.

Also known as: py-spy, pyspy, Python Spy, PySpy, Python profiler

Why learn Py-Spy?

Developers should use Py-Spy when they need to profile Python applications for performance issues, especially in production environments where minimal overhead is critical. It is particularly useful for debugging slow-running scripts, optimizing CPU-intensive tasks, and identifying hotspots in web servers or data processing pipelines without restarting the application.

Learning Resources

• docs: Py-Spy GitHub Repository
• tutorial: Py-Spy: A Sampling Profiler for Python
• video: Profiling Python with Py-Spy
• tutorial: Real Python: Profiling Python Code
• docs: Py-Spy Documentation on Read the Docs