3 minute read In our last post we saw that we can get much more performance by rewriting Pandas GroupBy – Apply in NumPy. I also mentioned that I could not get Numba working with this code to see if it helps. In this blog, I want to talk about how I got Numba working
Accelerate Python Functions Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don’t need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one