data infrastructure – Frost Institute for Data Science & Computing

NIH Funds New Consortium Aimed at Advancing Health Equity…

The National Institutes of Health recently announced a $50 million award to the University of North Texas Health Science Center to lead the coordinating center for the Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity, or AIM-AHEAD, program. Read more →

PyData Miami Conference—POSTPONED

#PyDataMiami2020 has been postponed. PyData is a 2-day conference on tools and techniques for machine learning, data analysis, visualization, and large-scale data infrastructure. We are an accessible, community-driven conference with talks and tutorials for all skill levels: students, practitioners, and researchers. PyData focuses on open-source computational tools for the Python programming language (such as NumPy, Pandas, and scikit-learn), as well as implementation-agnostic techniques, and other high level numerical languages, such as R and Julia.

Tickets

Diversity Scholarships

One of PyData’s goals is to increase awareness and excitement around opportunities for underrepresented groups in software engineering and data analytics. To increase diversity in scientific computing, our outreach program ranges from hosting workshops that introduce programming to young women to encouraging diversity in speakers at PyData.

For PyData Miami 2020, we are offering scholarship opportunities to those from underrepresented groups who may otherwise be unable to attend the conference.

Please note scholarships do not cover travel and lodging costs. Click HERE to submit an application.

About PyData

PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.