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 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.
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.
SciPy is a library of scientific numerical routines for Python. It is widely used by researchers across academia and industry, and has been used in the production of some major scientific results such as the LIGO gravitational wave detection, and the recent imaging of a black hole by the Event Horizon Telescope. BIDS was home to several SciPy core developers.
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.