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1
Introduction
2
Why Python is slow
3
New projects
4
Controversial slide
5
What makes Python slow
6
Global Variables
7
Attributes
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Happy case
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Avoid this
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Attribute lookup
11
Benchmarks
12
Dynamic features
13
C extensions vs Python
14
Conclusion
Description:
Explore the latest advancements in Python performance optimization and learn how to write efficient code for modern interpreters in this PyCon US talk. Discover new best practices, understand which old guidelines are no longer relevant, and gain insights into the ongoing efforts to speed up the Python language. Delve into topics such as global variables, attribute lookups, dynamic features, and the comparison between C extensions and Python. Acquire practical knowledge to leverage these optimizations effectively in your own Python projects.

Writing Performant Code for Modern Python Interpreters

PyCon US
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