Summary
Jason compares performance between C++, standard Python (CPython), JIT-compiled Python (PyPy), and Python with embedded C++ (via cppyy) using Conway's Game of Life as a benchmark. Implementing the same algorithm across all platforms, he finds C++ dramatically outperforms standard Python by 847x (0.08s vs 67.83s for 10,000 iterations). PyPy improves Python performance significantly, bringing execution time down to 3.94s (about 50x slower than C++). The cppyy integration, which allows calling C++ code from Python, performs even better at 2.15s (about 27x slower than pure C++), with most overhead coming from initialization rather than execution. Jason also demonstrates how small Python optimizations, like moving object construction outside of loops, can further improve performance.
Related C++ Standard Sections
This episode covers topics found in these sections of the C++ standard:
-
[coro.generator]100% match