In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy ...

This library provides a data structure, Sparse, which represents 3D volumetric data and supports a subset of np.ndarray features ...

NVIDIA has announced cuPyNumeric, an open-source distributed accelerated computing library designed to be a drop-in replacement for NumPy, enabling scientists and researchers to harness GPU ...

Kksk43 changed the title Converting a list composed of multiple multi-dimensional halffloat numpy arrays of different shapes into pyarrow.Array. [Python]Converting a list composed of multiple ...

Learn how this popular Python library accelerates math at scale, especially when paired with tools like Cython and Numba.

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

Non-uniform sparse arrays like nested arrays have the ability to estimate the direction-of-arrival (DOA) of more sources than the number of sensors. These arrays are designed in such a manner such ...

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 ...