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How We Are Making CPython Faster - Past, Present, and Future

PyCon US via YouTube

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Overview

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This talk gives a high-level overview of techniques for speeding up CPython, using simple examples and diagrams to explain its runtime optimizations and possible future performance gains.

Syllabus

Intro
Time vs Speed
Achieving 5x speedup Equivalent to a 80% reduction in execution time
Need to consider all aspects of the runtime
Where is the time spent?
General Principles
Example class and instance
The early days
Python object
Interlude: Bytecode
The past
The future
Region formation
Specialization
Partial Evaluation
Optimization techniques
Conclusions

Taught by

PyCon US

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