Where Is the Bottleneck?

Explore strategies and tools for identifying performance bottlenecks in Python programs during this 39-minute EuroPython Conference talk. Discover how to diagnose resource-intensive code using basic OS tools like htop, lsof, and ps, as well as advanced profiling tools such as memory_profiler, cprofile, and kcachegrind. Learn to plot memory usage, analyze CPU utilization, and visualize function call graphs to pinpoint performance issues. Gain insights into common causes of slow Python programs and acquire practical skills to efficiently locate and address bottlenecks, ultimately improving software quality and speed.

Introduction
Strategy
Cost
Skills
Basic tools
Memory Profiler
Line Profiler
SuperPython Line Profiler
Plot
Performance
KProfile
Questions