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1
Intro
2
Static type declarations
3
Memory allocation
4
Python loop
5
C vector
6
Iterator protocol
7
Exposure to Python
8
C arrays
9
Python dict
10
C median
11
Advanced features
12
Questions
Description:
Explore advanced techniques for optimizing Python performance using C/C++ in this 46-minute EuroPython 2021 conference talk by Stefan Behnel and David Woods. Learn how to leverage Cython to compile Python code and utilize fast, memory-efficient native data types and structures. Discover methods for accessing Python data structure internals, processing NumPy array data, and implementing C++ STL standard library data structures as alternatives to high-level Python collections. Gain insights into creating high-level Python interfaces that enable rapid data processing while maintaining seamless integration with Python features and libraries. The talk covers topics such as static type declarations, memory allocation, C vectors, iterator protocols, C arrays, and advanced features, concluding with a Q&A session.

Fast Native Data Structures - C-C++ from Python

EuroPython Conference
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