Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers.

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, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

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 ...

By drawing on C libraries for the heavy lifting, NumPy offers faster array processing than native Python. It also stores numerical data more efficiently than Python’s built-in data structures.

[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 ...