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Python currently is the dominant language in the field of Machine Learningbut is often criticized for being slow to perform certain tasks. In thisreport, we use the well-known $N$-queens puzzle as a benchmark to show thatonce compiled using the Numba compiler it becomes competitive with C++ and Goin terms of execution speed while still allowing for very fast prototyping.This is true of both sequential and parallel programs. In most cases that arisein an academic environment, it therefore makes sense to develop in ordinaryPython, identify computational bottlenecks, and use Numba to remove them.

Comparing Python, Go, and C++ on the N-Queens Problem