Project Jupyter is a community of open-source developers, scientists, educators, and data scientists. Its goal is to build open-source tools and create 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 was founded in 2009 by Stéfan van der Walt. It 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. The library builds on NumPy and SciPy, two other projects in the scientific Python ecosystem supported by BIDS.
rOpenSci is a software collective that provides R-based tools to enable access to scientific data repositories, full text of articles, and science metrics and also facilitate a culture shift in the scientific community toward reproducible research practices.
Software Carpentry is a volunteer organization whose goal is to make scientists more productive and their work more reliable by teaching them basic computing skills.
The BIDS Diversity and Inclusion Working Group will focus on increasing diversity and inclusivity in data science by supporting and promoting the diverse perspectives and identities of Berkeley’s active data science research community.