Extracting the most from NumPy

Posted Posted in Uncategorized

NumPy is fast, and for people using it correctly, it provides all performance they will need, as their bottleneck will most likely reside somewhere else in their code. There are times, however, when NumPy presents bottlenecks that are worth trying to address. In the age of AMD’s Ryzen line of CPUs, the lack of multi-threading […]