Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: We introduce SARXarray and STMtools, two python libraries designed to support the exploitation of modern Interferometric Synthetic Aperture Radar (InSAR) data by enabling handling of ...

Few things generate as much data as simply observing Earth from above. But Ryan Abernathey and Joe Hamman very quickly realized that all that data still wasn’t enough for their startup to thrive.

Description: In this webinar, we will introduce the Open-source Project for a Network Data Access Protocol (OPeNDAP ) and showcase recent advancements that enable performant, cloud-optimized access to ...

I'm an ecologist and geospatial professional currently working at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC); part of NASA's Earth Observing System Data and ...

In this article, we describe the free, open-source Python-based Space Physics Environment Data Analysis System (PySPEDAS), a platform for multi-mission, multi-instrument retrieval, analysis, and ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.

time python -c "import xarray" python -c "import xarray" 1.44s user 0.52s system 132% cpu 1.476 total compared to others time python -c "import pandas" python -c "import pandas" 0.45s user 0.35s ...