Earth Sciences / Ecology & Environment

Jupyter

Project Jupyter is a community of open-source developers, scientists, educators, and data scientists. Its goal is to build open-source tools and create a community that facilitates scientific research, reproducible and open workflows, education, computational narratives, and data analytics. Jupyter supports over 100 programming languages, and connects data analytics tools across a range of disciplines and communities.

There are several core projects of Jupyter that the Berkeley Institute for Data Science supports:

scikit-image

Scikit-image is a community-driven Python project, consisting of a vast collection of high-quality, peer-reviewed image processing algorithms that are made available to a global community of researchers free of charge and free of restriction. The library is widely used in many different fields, including astronomy, biomedical imaging, and environmental resource management. Scikit-image was founded by BIDS Research Data Scientist Stéfan van der Walt in 2009.

Stepping Into The Sun: A Mission To Bring Solar Energy To Communities Of Color

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