NumPy

NumPy (Numerical Python) is a fundamental library for scientific computing in Python, providing support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays. It serves as the bedrock for the entire Python data…

Key facts

First appeared: 2005
Category: technology
Problem solved: NumPy was created to solve the problem of inefficient and cumbersome numerical computation with arrays in native Python. Before NumPy, Python lacked a standard, high-performance multi-dimensional array object, making tasks like linear algebra, Fourier transforms, and random number generation slow and difficult for scientific and engineering applications.
Platforms: macOS, Windows, Other POSIX systems, FreeBSD, Linux

Related technologies

TensorFlow
Matplotlib
SciPy
Python
Scikit-learn
PyTorch
Dask
Jupyter Notebooks
Pandas

Notable users

Amazon
Intel
Meta (Facebook)
NVIDIA
Microsoft
Google
NASA
Academic research institutions globally
Financial institutions (e.g., banks, hedge funds)
Netflix