JupyterCon brings together data scientists, business analysts, researchers, educators, developers, and core Project contributors and tool creators for in-depth training, insightful keynotes, networking events, and practical talks exploring the Project Jupyter platform. JupyterCon focuses on real-world practices and how to successfully implement interactive computation in your workflow and projects. In just four days you’ll discover the best practices for collaborative and reproducible data science; new use cases, and the expertise you need to transform your workflow with Jupyter.
JupyterCon will educate and motivate by offering:
JupyterCon is for anyone who wants to better use Jupyter's tools, including:
Project Jupyter and O'Reilly Media are committed to promoting diversity and to creating a safe and productive environment for everyone at JupyterCon, and at all of our events. Read the JupyterCon code of conduct.
In four information-packed days JupyterCon gives you the tools you need to make more effective use of the rich Jupyter ecosystem:
is an assistant professor in Statistics at UC Berkeley and a Faculty Scientist in the Department of Data Science and Technology at Lawrence Berkeley National Laboratory. After completing a PhD in particle physics at the University of Colorado at Boulder, his postdoctoral research in applied mathematics centered on the development of fast algorithms for the solution of partial differential equations in multiple dimensions. Today, his research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research. He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. The Jupyter team collaborates openly to create the next generation of tools for human-driven computational exploration, data analysis, scientific insight and education.
He is a National Academy of Science Kavli Frontiers of Science Fellow and a Senior Fellow and founding co-investigator of the Berkeley Institute for Data Science. He is a co-founder of the NumFOCUS Foundation, and a member of the Python Software Foundation. He is the recipient of the 2012 Award for the Advancement of Free Software from the Free Software Foundation.
Known as a "player/coach", with core expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Co-chair JupyterCon, host of Executive Briefings at The AI Conf and Strata Data. Evangelist for Computable. Advisor for Amplify Partners, Deep Learning Analytics, Recognai. Recent roles: Director, Learning Group @ O’Reilly Media; Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise.
is an associate professor of physics and data science at Cal Poly State University in San Luis Obispo, CA. His research focuses on building open-source tools for interactive computing, data science, and data visualization. Brian is a leader of the IPython project, co-founder of Project Jupyter, co-founder of the Altair project for statistical visualization, and an active contributor to a number of other open-source projects focused on data science in Python. He is an advisory board member of NumFOCUS and a faculty fellow of the Cal Poly Center for Innovation and Entrepreneurship.
is the CTO of O'Reilly Media, where he helps define and create the new products, services, and business models that will help O'Reilly continue to make the transition to an increasingly digital future. The author of two books on database development, he has experience as a software developer and consultant in a number of industries, including manufacturing, pharmaceuticals, and publishing. Andrew has an MBA from New York University and a degree in computer science from the University of Alabama. He's also thru-hiked the Appalachian Trail from Georgia to Maine.
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