Array programming provides a powerful, compact and expressive syntax for accessing,
manipulating and operating on data in vectors, matrices and higher-dimensional arrays …

The expansion of agroforestry could provide substantial climate change mitigation (up to
0.31 Pg C yr− 1), comparable to other prominent natural climate solutions such as …

Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …

Abstract CASA, the Common Astronomy Software Applications, is the primary data
processing software for the Atacama Large Millimeter/submillimeter Array (ALMA) and the …

Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …

PyMC is a probabilistic programming library for Python that provides tools for constructing
and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural …

Most state-of-the-art approaches for weather and climate modeling are based on physics-
informed numerical models of the atmosphere. These approaches aim to model the non …

Measuring the abundances of carbon and oxygen in exoplanet atmospheres is considered a
crucial avenue for unlocking the formation and evolution of exoplanetary systems,. Access to …

A principal challenge in the analysis of tissue imaging data is cell segmentation—the task of
identifying the precise boundary of every cell in an image. To address this problem we …

Spatial omics data are advancing the study of tissue organization and cellular
communication at an unprecedented scale. Flexible tools are required to store, integrate and …