Developing Python applications is handy and rapid, but its performance is always concerned, especially on the CPU bound problems. We will go through the common tricks and tips to archive the best performance on the Python level. Then the two reputable libraries, Cython and Pybind11, will be visited to archive the compiled language performance and compared with their implementation, flexibility and performance. Audience level: Intermediate Speaker: Gavin Chan, quantitative developer in AXA Investment Manager Chorus Ltd with 7+ years of experience in software development and finance industry.