[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 ...

Rough descriptions of how to call a C++ function through ctypes in Python on Windows. Calling a C++ function on a 2D numpy array took me about 2 hours to figure out, even with the entire internet as a ...

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 ...

Want to get better performance with Python? Here's how to use NumPy to toe the 'invisible line' of data and memory transfers and optimize efficiency.

Numpy version 1.19.5 is compatible with Python 3.6, so it shouldn't be an issue. I need to use Python 3.6 because the SQL ODBC drivers depend on it. This is a critical issue, since numpy is one of the ...

Discover how NumPy arrays enhance machine learning data preprocessing. Learn to clean, scale, and transform data efficiently with NumPy.

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).