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This talk explains how memory problems arise in Python and how to choose profiling tools for different situations. It covers tracing leaks in long-running web applications and finding peak memory usage in data processing code.
Syllabus
Introduction
Should you write the software
Outline
RAM vs Disk
Failed allocation
Ram
Data loading
Reduce peak memory
Flame graph
Memory leaks
Memory usage
Stack trace
Memory leak explained
Cache
Field
Reproducer
Malek
Python leak example
Recap
PythonSpeedcom Memory
Questions
Taught by
EuroPython Conference