JupyterCon New York 2018 gathered thousands of data scientists, business analysts, educators, and developers from around the globe to learn about recent developments in the Project Jupyter ecosystem. 100+ Jupyter experts spoke at the conference, providing guidance on how to use Jupyter Notebooks, JupyterLab, JupyterHub, and other Jupyter toolsets. This video compilation is a complete recording of each of the 14 keynote speeches, eight tutorials, and 64 technical sessions delivered at the conference.
If you're a business leader who wants to transform your data into a competitive advantage, an educator looking for a better way to teach, or a researcher who needs powerful tools for sharing and communicating data analysis, the JupyterCon NY 2018 video compilation is a great place to get started.
- Keynote speeches by Luciano Resende (IBM Watson) on how IBM leverages the Jupyter stack to offer business critical services; Will Farr (Stony Brook University) on the benefits of using Jupyter for large, global scientific collaborations; and Mark Hansen (Columbia Journalism School) on why today's new generation of journalists must understand and use the newest tools in data analysis.
- Tutorials by Rachael Tatman (Kaggle) on how to teach a class more effectively using live coding in Jupyter notebooks; Jason Grout (Bloomberg) and Matthias Bussonnier (UC Berkeley BIDS) on how to transition from classic Jupyter Notebooks to the JupyterLab; and Carol Willing (Cal Poly San Luis Obispo) on how to deploy cloud-based JupyterHubs.
- Total access to the JupyterCon Strata Business Summit—these sessions featured concise, high-level executive briefings on the most important Jupyter developments in business from Jupyter leaders at Capital One, IBM, Oracle, Teradata, PayPal, Two Sigma, Capsule8, GE, and more.
- Multiple Jupyter usage sessions, including Dave Stuart (Department of Defense) on a "citizen data scientist" program at DoD; and Yuvi Panda (UC Berkeley) on how UCB's MYBinder team develops JupyterHub infrastructure code in a collaborative manner.
- 15+ reproducible research and open science sessions, including Viral Shah (Julia Computing) on Julia's path toward becoming the default language for all forms of data science; and Adam Thornton (LSST) on combining JupyterLab, JupyterHub, and Kubernetes to enable the analysis of very large datasets.
- Education and training sessions, including Laura Noren's (Obsidian Security) comparison of data science research infrastructure in Canada versus the US.
- Jupyter extensions sessions, including Stephanie Stattel (Bloomberg LP) and Paul Ivanov (Bloomberg LP) on how to design and combine extensions to build custom JupyterLab solutions.
- Data visualization sessions, including Lindsay Richman's (McKinsey & Co.) on using JupyterLab, Plotly, and a Python-based Dash framework to create dynamic charts and interactive reports.
- Enterprise and organizational adoption sessions, including Diogo Castro (CERN) on SWAN—CERN's Jupyter-based interactive data analysis service.
- Dozens of other sessions relating to topics such as Jupyter communities, kernels, and JupyterHub deployments.
- More than 70 hours of video to view at your own pace and schedule.