By Alex Dathskovsky
As C++ programmers, many of us have embraced Python as our second language due to its versatility and ease of use, particularly for algorithm development (Maybe we should change the false writing of C/C++ to C++/Python because its more accurate :)). However, one major challenge we encounter is Python’s inherent slowness as an interpreted language. 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. We will explore many binding tools and understand the advantages and disadvantages of each one. We will explore CPython and understand GIL pitfalls. By the end of this talk, attendees will have a comprehensive understanding of various binding tools available for accelerating Python and their respective advantages and disadvantages. Armed with this knowledge, C++ programmers will be empowered to bridge the gap between the two languages, enhance their algorithm development process, and unlock the full potential of Python.










