Recently, researchers at NumPy released its first-ever review paper “Array programming with NumPy” that is based on how a few fundamental array concepts lead to a simple and powerful programming paradigm for organising, exploring and analysing scientific data. The entire review paper has been published by the developers a few days ago after a gap of almost fifteen years since its inception.

Created in 2005, NumPy is an open-source project that aims to enable numerical computing with Python. In the current scenario, almost every scientist working in Python draws on the power of NumPy. The library adds support for large, multi-dimensional arrays as well as matrices, and brings the computational power of languages like C and Fortran to Python.

From capturing the first image of a black hole to sport analytics, NumPy plays a significant role in research analysis pipelines including fields such as physics, astronomy, geoscience, biology, psychology, economy, engineering, finance and more.

#array programming #numpy #numpy array #numpy library python #python