[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 ...

NumPy is not only a very valuable library of functions. It is becoming the center of a constellation of emerging libraries. To understand why you must understand the modern utility of NumPy.

Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in matrixes.

NumPy (Numerical Python) is a core library for scientific computing in Python. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the ...

NumPy Library Exploration This project demonstrates a comprehensive implementation and exploration of NumPy, one of the most powerful Python libraries for numerical computations. The notebook covers ...

Python library options: NumPy and Pandas There are many powerful Python C libraries that provide high performance for scientific applications that process large amounts of data in arrays or matrices.

The developers behind Cython, the Python library for compiling Python code to C, have at last released Cython 3.0 after many years of development and refinement.