Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

Array programming, the heart of NumPy, is especially important in artificial intelligence programming, including machine learning and deep learning.

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with ...

Recent alumnus of the Master of Computer Science program (May 2013), Joseph Howse, has just released his book, OpenCV Computer Vision with Python, through Packt Publishing. Joseph's concise and ...

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 can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

Posted in Arduino Hacks, Microcontrollers Tagged fft, matrix, microcontroller, micropython, numpy, python, ulab ← Scratch Building A Lathe From Pieces Of Granite ...