The Joy of PyPy JIT - Abstractions for Free

Explore the power of PyPy JIT in this 59-minute conference talk from EuroPython 2017. Discover how PyPy JIT technology enhances Python program performance while allowing developers to write better code without sacrificing speed. Learn about the importance of abstractions in complex software systems and how PyPy JIT naturally removes the cost associated with most abstraction layers. Examine real-life examples demonstrating PyPy JIT's capabilities and limitations, and compare its optimization techniques to other popular systems like Cython. Gain insights into PyPy JIT's inner workings, including loops, guards, bridges, inlining, and class optimizations. Delve into practical demonstrations using the Sobel filter algorithm to illustrate the benefits of PyPy JIT in maintaining code quality and performance.

Intro
About me
General question
The joy of PyPy
Good code
Abstractions
Example: Sabel filter
Image
Version 2
Version 3
Version 4
Version 5
The cost of abstraction
PyPy JIT 101
Loops and guards
Bridges (1)
Bridges (2)
Inlining
Classes
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