PyData Warsaw 2017

Start: October 19, 2017 End: October 20, 2017
Venue: Copernicus Science Centre Address: Wybrzeże Kościuszkowskie 20, 00-390 Warsaw, Poland

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.

We aim 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.

Keynote speakers

  • Antonio Gulli

Site Lead and Engineering Director in Google Polska currently focused on delivering Google cloud solutions, for VMs, Containers, and Serverless. Previously He was holding senior positions in Elsevier, Microsoft, and ASK.COM. Antonio is also an author of books about Machine Learning, holds many patents in Search, and several academic publications in the field of data science.

  • Radim Rehurek

Senior software developer and entrepreneur with a passion for machine learning, natural language processing, and information retrieval. Creator of Gensim – open source Python library for topic modeling (word2vec, LDA, LSI). Building practical solutions for businesses for over a decade. Founder of RaRe Technologies, an R&D consulting company.

  • Katharine Jarmul

Pythonista and founder of Kjamistan, a data consulting company in Berlin, Germany. She’s been using Python since 2008 to solve and create problems. She helped form the first PyLadies chapter in Los Angeles in 2010 and co-authored an O’Reilly book along with several video courses on Python and data. She enjoys following the latest developments in machine learning, natural language processing, and workflow automation infrastructure and is generally chatty and crabby on Twitter.

  • Cameron Davidson-Pilon

Cam Davidson-Pilon has worked in many areas of applied mathematics, from evolutionary dynamics to statistical modeling of financial prices. His many contributions to the open source community include lifelines, an implementation of survival analysis in Python, and Bayesian Methods for Hackers, an open source book on Bayesian analysis. Educated at the University of Waterloo and at the Independent University of Moscow, he currently works at Shopify in Ottawa, Canada.

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