Web Reference: Apr 2, 2025 · In this talk, we propose a paradigm shift by redefining our approach as C++/Python, emphasizing the symbiotic relationship between the two languages. By leveraging various binding tools, we can significantly accelerate Python's performance and unlock its true potential. In this talk, we propose a paradigm shift by redefining our approach as C++/Python, emphasizing the symbiotic relationship between the two languages. By leveraging various binding tools, we can... We have overheads The data needs to go back and forth from C++ object to PyObject Different Libraries use different methods PyBind11 allocates almost everything as smart pointers or vectors and it makes it a bit slower Just like with CUDA we need to select the right parts to be optimised.
YouTube Excerpt: https://cppcon.org --- C++ ♥
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