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PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization.
PyData aims to be an accessible, community-driven conference, with tutorials for novices, advanced topical workshops for practitioners, and opportunities for package developers and users to meet in person.
Lynn Cherny (consultant / EM-Lyon)
Aleksandra Przegalińska (Kozminski Univ. / MIT)
Researcher in AI ethics and human-machine interaction.
Gene Kogan (consultant / NYU)
An artist and a programmer who is interested in generative systems; created ml4a – Machine Learning for Artists.
Research on cognimates.me, MIT Media Lab graduate student, founder HacKidemia and Afrimakers, passionate about AI education, dance & climbing.