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, ...

NumPy arrays differ from a normal Python list because of their ability to broadcast. This is the ability to write a range of values to the array using slicing. arr [0: 5] = 100. ... As a ...

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.