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

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, ...

Another set of features NumPy offers that let you do advanced computation techniques without Python loops are called universal functions, or ufunc s for short. ufunc s take in an array, perform ...

When you call the Cython function in your Python code, send the entire NumPy array object as an argument for that function call. Perform all the iteration over the object in Cython.

[Zoltán] sends in his very interesting implementation of a NumPy-like library for micropython called ulab. He had a project in MicroPython that needed a very fast FFT on a micro controller, and ...

Topics by chapter include: Setting up Python, NumPy, SciPy, OpenCV, OpenNI, and SensorKinect on Windows, Mac, and Ubuntu. Working with cameras, image/video files, and GUIs using OpenCV. Understanding ...