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1
Introduction
2
Should you write the software
3
Outline
4
RAM vs Disk
5
Failed allocation
6
Ram
7
Data loading
8
Reduce peak memory
9
Flame graph
10
Memory leaks
11
Memory usage
12
Stack trace
13
Memory leak explained
14
Cache
15
Field
16
Reproducer
17
Malek
18
Python leak example
19
Recap
20
PythonSpeedcom Memory
21
Questions
Description:
Discover effective techniques for measuring and optimizing Python memory usage in this 30-minute EuroPython Conference talk. Learn about different memory profiling tools and when to apply them based on your specific use case. Explore how memory problems manifest in Python, understand memory usage patterns across various application types, and gain insights into identifying and addressing memory leaks in both Python code and C extensions. Delve into strategies for managing peak memory usage in data processing applications, including data science and scientific computing scenarios. Acquire practical knowledge to improve your Python programs' performance and stability by effectively managing memory resources.

Measuring Memory - Python Memory Profilers and When to Use Them

EuroPython Conference
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