As noted above, NumPy arrays behave a lot like other Python objects, for the sake of convenience. For instance, they can be indexed like lists; arr[0] accesses the first element of a NumPy array.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes. If you want, for instance, ...

This NumPy version performs admirably, clocking in at around 28.77 ns per element -- almost two times faster than the pure Python rendition. Comparison established -- we have a clear winner. However, ...

We really recommend that fans of Python and NumPy give this one a look over! Posted in Arduino Hacks, Microcontrollers Tagged fft, matrix, microcontroller, micropython, numpy, python, ulab.

[153Armstrong] did a short post on how easy it is to generate waveforms using Python.We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy ...