The course aims to help developers understand and analyze the impact of Python's Global Interpreter Lock (GIL) on application performance. By sharing methods and tools for analyzing GIL contention, participants will learn how to identify and address performance bottlenecks without resorting to major refactoring or language switches. The teaching method involves explaining the relevance of the GIL through real-world examples and tools used for performance analysis. This course is intended for Python developers working on scaling and optimizing performance-sensitive components in their applications.
Overview
Syllabus
Introduction
Task Execution Framework
Semantic Visualization
Dave Paisley
concurrency visualization
GIL load
Pies Buyer
Event Handlers
Example
CPU bound
Latency
GIL Disadvantage
The Plan
Observations
Timelines
SystemTap
Pookie
Simple fixes
Additional ideas
Taught by
EuroPython Conference
