Detecting objects from a set of training images by shape and color using machine learning in Python from scratch (doing all the math on only numpy arrays, no machine learning packages used). In the ...

This repository aims to benchmark the performance of: lists arrays (from python's array module) numpy arrays numpy arrays with numba The repository is still under construction.

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.

"The Python Interactive experience now comes with a built-in variable explorer along with a data viewer, a highly requested feature from our users," de Melo e Abud said. "Now you can easily view, ...

The cache is also intelligently optimized for large objects like NumPy arrays. Regions of data can be shared in-memory between processes on the same system by using numpy.memmap.

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

[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 ...