Numba and Cython can accelerate numerical Python workloads, but speedups vary with algorithm, input size, data types and compilation overhead. A claim of a universal million-fold speedup is misleading. Features like list comprehension speeds up Python code but finds limited use. Moreover, speed up gain is limited as it doesn’t address the above fundamental problem. But there are ways by which these bottle neck can be addressed and you can… Read More »Speed Up Python with Numba and Cython: Realistic Benchmarks