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JupyterCon 2020 General Sessions Schedule

Oct. 12, 2020

  Jupyter Community: Practices Jupyter Community: Tools Jupyter Core Data Science Applications Enterprise Jupyter Infrastructure Jupyter in Education Jupyter in Scientific Research JupyterCon Sponsor Talks
Oct. 12, 2020, 2:30 p.m. Jupyter - The path to solving outstanding problems Juan Klopper
Oct. 12, 2020, 3:30 p.m.

Break
Oct. 12, 2020, 4 p.m. Jupyter as an Enterprise “Do It Yourself” (DIY) Analytic Platform Dave Stuart Intro to Elyra - an AI centric extension for JupyterLab Yiwen Li, Edward Leardi, Saishruthi Swaminathan Putting the JupyterHub puzzle pieces together Georgiana Dolocan Handling Custom Jupyter Data Sources Tam Nguyen Using the Jupyterverse to power MADS Damian Avila How Jupyter and geemap enable interactive mapping and analysis of large-scale geospatial datasets Qiusheng Wu, Tyler Erickson
Oct. 12, 2020, 4:15 p.m. What's new on Elyra - A set of AI centric JupyterLab extensions Luciano Resende, Karla Spuldaro ipyannotator - the infinitely hackable annotation framework Immanuel Bayer
Oct. 12, 2020, 4:30 p.m. Supercharge your Data Science workflow with Notebooks, Visual Studio Code, and Codespaces Jeffrey Mew Explore and Extend AI Pipeline Runtimes with Elyra and JupyterLab Alan Chin Running non-jupyter applications on JupyterHub with jupyter-server-proxy Yuvi Panda From Zero to Hero: using Jupyter Notebooks to put Scientific Computing on the map at Girls’ Schools! Chiin-Rui Tan Jupyter-enabled astrophysical analysis for researchers and students Stephanie Juneau
Oct. 12, 2020, 4:45 p.m. Supercharging SQL Users with Jupyter Notebooks Michelle Ufford Streamline your Data Science projects with Ploomber Eduardo Blancas The Streetwise Guide to JupyterHub Security Rick Wagner, Matthias Bussonnier A shared Python, R and Q (kdb+) Jupyter Notebook - A Quant Sandbox Dream Rebecca Kelly Teaching an Active Learning class with Jupyter Book Firas Moosvi
Oct. 12, 2020, 5 p.m. JupyterLab and GenePattern Notebook: Democratizing the accessibility of computational workflows Thorin Tabor Jupyter in the Wikimedia ecosystem Daniel Mietchen The Care and Feeding of JupyterHub for Climate Solution Models Denton Gentry
Oct. 12, 2020, 5:15 p.m. What we learned from introducing Jupyter Notebooks to the SQL community Alan Yu, Chris LaFreniere Leap of faith: Transitioning from Excel to Jupyter-based applications Itay Dafna
Oct. 12, 2020, 5:30 p.m. 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education Yuvi Panda, Cathryn Carson, Chris Holdgraf, Fernando Pérez, James Colliander, Lindsey Heagy, Ryan Abernathey Using Datasette with Jupyter to publish your data Simon Willison FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era Tingkai Liu, Aurel A. Lazar, Mehmet Kerem Turkcan, Yiyin Zhou
Oct. 12, 2020, 5:45 p.m. Using Qri (“query”) to fetch, query, combine and publish datasets. Brendan O'Brien
Oct. 12, 2020, 6 p.m.

Break
Oct. 12, 2020, 6:30 p.m.

Lightning Talks
Oct. 12, 2020, 7:30 p.m.

Social Activity
Oct. 12, 2020, 8:30 p.m.

Oct. 13, 2020

  Jupyter Community: Practices Jupyter Community: Tools Jupyter Core Data Science Applications Enterprise Jupyter Infrastructure Jupyter in Education Jupyter in Scientific Research JupyterCon Sponsor Talks
Oct. 13, 2020, 1 p.m. Jupyter Expanding: from shell to notebook to lab and hub Min Ragan-Kelley
Oct. 13, 2020, 2 p.m.

Break
Oct. 13, 2020, 2:30 p.m.

Speaker Panels
Oct. 13, 2020, 3:30 p.m.

Break
Oct. 13, 2020, 4 p.m. A Notebook Style Guide Kunal Bhalla The new Jupyter Book stack: a more powerful, modular, re-usable toolchain Chris Holdgraf A visual debugger in Jupyter Afshin T. Darian, Jeremy Tuloup, Johan Mabille Optimizing model performance with feature engineering and hyperparameter optimisation Nanthini Balasubramanian, Devin Robison Distributing and Collecting Jupyter Notebooks for Manual Grading Bryan Weber Why develop a snippet library for Jupyter in your subject domain? Blaine Mooers
Oct. 13, 2020, 4:15 p.m. How to avoid 'Death by Jupyter Notebooks' - Towards more effective and educational notebooks Julia Wagemann fastpages - A new, open source Jupyter notebook blogging system. Hamel Husain
Oct. 13, 2020, 4:30 p.m. Jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts Marc Wouts ¡Bienvenido! Bienvenue! Welcome! JupyterLab and Language Extensions! Gonzalo Peña-Castellanos PayPal Notebooks: ML & Data Science experience Junhua Zhao, Hariraj Sundaravadivelu The Littlest JupyterHub (TLJH) distribution - trouble-free Jupyter Notebooks for your students Georgiana Dolocan Cloud Native Repositories for Big Scientific Data Ryan Abernathey
Oct. 13, 2020, 4:45 p.m. Best practices for managing Jupyter-based data science projects using Conda (+Pip) David R. Pugh ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility Sheeba Samuel Electronic Examination using Jupyter Notebook with JupyterHub and nbgrader Tim Metzler, Mohammad Wasil
Oct. 13, 2020, 5 p.m. Jupyter Real Time Collaboration Eric Charles Redesigning Notebooks for Better Collaboration April Wang SlicerJupyter: a 3D Slicer kernel for interactive publications Jean-Christophe Fillion-Robin
Oct. 13, 2020, 5:15 p.m. Debugging notebooks and python scripts in JupyterLab Karla Spuldaro To Jupyter and back again: Seamless interoperability between ipywidgets and Bokeh 2.0 Philipp Rudiger
Oct. 13, 2020, 5:30 p.m. What is my GPU doing? Using PyNVML and the NVDashboard Jupyter Lab extension to access GPU metrics Jacob Tomlinson Using WebGL2 transform/feedback in Jupyter widgets for advanced computations and graphics Aaron Watters
Oct. 13, 2020, 5:45 p.m. assert browserTest == True # Frontend Testing JupyterLab Extensions With Selenium Shreyas Cholia, Labanya Mukhopadhyay, Rollin Thomas
Oct. 13, 2020, 6 p.m.

Break
Oct. 13, 2020, 6:30 p.m. Creating delightful libraries and books with nbdev and fastdoc Jeremy Howard
Oct. 13, 2020, 7:30 p.m. Tuesday Poster Session Damian Avila, Julia Wagemann
Oct. 13, 2020, 8:30 p.m.

Oct. 14, 2020

  Jupyter Community: Practices Jupyter Community: Tools Jupyter Core Data Science Applications Enterprise Jupyter Infrastructure Jupyter in Education Jupyter in Scientific Research JupyterCon Sponsor Talks
Oct. 14, 2020, 1 p.m. Tackling Toxic Culture in Tech: Racism and Its Legacy Tema Okun
Oct. 14, 2020, 2 p.m.

Break
Oct. 14, 2020, 2:30 p.m.

Speaker Panels
Oct. 14, 2020, 3:30 p.m.

Break
Oct. 14, 2020, 4 p.m. Structuring Notebooks Around Their Outputs David Koop Advanced Robotics in Jupyter Notebooks and JupyterLab Wolf Vollprecht, Carlos Herrero Xeus: an ecosystem of Jupyter kernels Sylvain Corlay, Johan Mabille, Mariana Meireles, Martin Renou Role of Jupyter Notebook in performing Data Science activities at Educational Institutes. Dr. Anjali Mathur JupyterHub ≠ x, for all x: A tale of two JupyterHubs Richard Darst Jupyter Notebook as a Medium for Experimentalist and Data Scientist Collaboration in neuroImaging Hawley Helmbrecht
Oct. 14, 2020, 4:15 p.m. Creating JupyterLab extensions faster Davis Ford Empowering the Public with Environmental Data Maalvika Bhat Reproducible Exploration of Neuroimaging Data Lee Tirrell, Paul Wighton
Oct. 14, 2020, 4:30 p.m. The Grail: A Github Process for Jupyter Notebooks that Just Works Peter Bull A Generic Metadata-Store for JupyterLab extensions Martha Cryan And Voilà! Turning notebooks into standalone web applications Sylvain Corlay, David Brochart Exascale system management using Jupyter notebooks Jonathan "Bill" Sparks Teaching teenagers to understand Dark Energy with straight-off-the-telescope data & Jupyter. Michael James Wilson
Oct. 14, 2020, 4:45 p.m. jupyter-fs: the next generation Jupyter filesystem Max Klein Help your plants to stay healthier with Machine Learning at home Maria Jose Molina Contreras, PhD IBM Quantum Experience Notebooks. Serving JupyterHub at scale for the Quantum Computing Community Juan Cruz-Benito Pulse Physiology Engine: An Interactive Human Physiology Simulator Aaron Bray
Oct. 14, 2020, 5 p.m. Introducing a simple notebook continuous integration workflow Alex Remedios LFortran: Interactive LLVM-based Fortran Compiler for Modern Architectures Ondřej Čertík, Milan Curcic Publishing with Jupyter: An update from the community Chris Holdgraf Introducing QHub: How to Get Your Own Cloud Data Science Platform on the Cheap Amit Kumar, Christopher Ostrouchov, Dharhas Pothina Automating biological network visualization with Jupyter Notebook Kozo Nishida
Oct. 14, 2020, 5:15 p.m. Kernel Life Cycle Management Praveen Kanamarlapudi, Ayushi Agarwal Advanced Visualization in Jupyter Notebooks Kalyan Akkapantula Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub Chia-liang Kao Voilà dashboards for policy support Davide De Marchi
Oct. 14, 2020, 5:30 p.m. The MariaDB Jupyter kernel Robert Bindar After model.fit, before you deploy: Prototype with FastAPI in Jupyter! Ryan Herr A Persistent BinderHub: Democratizing Access to Computational Resources in the Social Sciences Arnim Bleier, Kenan Erdogan Exploring the Universe with ESASky's JupyterLab widget Marcos López-Caniego, Mattias Wångblad
Oct. 14, 2020, 5:45 p.m. From Papers to Notebooks-Submission, Review, Presentation & Publication of Notebooks at EarthCube'20 Kenton McHenry .NET Jupyter Notebook: Lessons we learned building multi-language kernel Maria Naggaga, Jon Sequeira
Oct. 14, 2020, 6 p.m.

Break
Oct. 14, 2020, 6:30 p.m. Science in the Age of Data: Accelerating Human Progress Omoju Miller
Oct. 14, 2020, 7:30 p.m.

Lightning Talks
Oct. 14, 2020, 8:30 p.m.

Oct. 15, 2020

  Jupyter Community: Practices Jupyter Community: Tools Jupyter Core Data Science Applications Enterprise Jupyter Infrastructure Jupyter in Education Jupyter in Scientific Research JupyterCon Sponsor Talks
Oct. 15, 2020, 1 p.m. Equipping and empowering future data scientists with confidence, intuition, and communication skills Lucy D'Agostino McGowan
Oct. 15, 2020, 2 p.m.

Break
Oct. 15, 2020, 2:30 p.m.

Speaker Panels
Oct. 15, 2020, 3:30 p.m.

Break
Oct. 15, 2020, 4 p.m. How we built covid19dashboards.com Pratap Vardhan Bridging Code and Interactive Visualization in Jupyter Notebooks with B2 Yifan Wu Community building is a sustainability strategy: Not all contributions to Jupyter are on GitHub Ana Ruvalcaba Apache Spark 3.0: Big Data Analytics with GPUs and Jupyter Notebooks Brad Miro, Tahir Fayyaz Notebooker: From research to production in a snap using Jupyter Notebooks Jon Bannister Deep Learning Development with PyTorch+Jupyter using Heterogenous hardware Joseph Spisak
Oct. 15, 2020, 4:15 p.m. Streaming, cross-sectional data visualization in Jupyterlab with Perspective and Apache Arrow Junyuan Tan
Oct. 15, 2020, 4:30 p.m. Building AI Pipelines with Elyra - A deep dive using COVID-19 Analytics Scenario Luciano Resende, Fred Reiss, Karla Spuldaro Jupyter Governance 2020 Brian E. Granger, Fernando Pérez Scaling Jupyter Notebooks for global scale security analysis Pete Bryan NotebookOps: A pattern for building notebook-centric data platforms Vinayak Mehta Introducing Bento: Jupyter Notebooks @ Facebook Tanya Rai
Oct. 15, 2020, 4:45 p.m. XVega : A C++ backend for the Vega-Lite visualisation system. Madhur Tandon Distributed Computing using Jupyter Notebooks with Spark Jason Yang Unlocking federated learning capabilities in the Jupyter ecosystem Nathalie Baracaldo
Oct. 15, 2020, 5 p.m. Interactive Graph Visualization in Jupyter with ipycytoscape Mariana Meireles, Ian Hunt-Isaak The other kernel: managing browser resources in notebooks Thomas Ballinger Building distributed pipelines with Jupyter Notebooks Weijun Qian, Karthik Banala
Oct. 15, 2020, 5:15 p.m. High performance Jupyter: faster workloads with Dask and RAPIDS Aaron Richter Production Notebooks Tim Paine AI Platform Notebooks - A Jupyter Based Notebooks for Enterprises Suds Narasimhan
Oct. 15, 2020, 5:30 p.m. Dr. Schmood's Notebook of Python Calisthenics and Orthodontia David Schmudde Interactive Knowledge Graph Visualization in Jupyter Notebook Cheuk Ting Ho Building Continuous Integration Pipeline With Jupyter Notebooks on GCP Viacheslav Kovalevskyi
Oct. 15, 2020, 5:45 p.m. pydeck: High-scale geospatial visualization for Python Andrew Duberstein
Oct. 15, 2020, 6 p.m.

Break
Oct. 15, 2020, 6:15 p.m.
Oct. 15, 2020, 6:30 p.m. Next-generation frameworks for Large-scale AI Animashree Anandkumar
Oct. 15, 2020, 7:30 p.m. Thursday Poster Session Damian Avila, Julia Wagemann
Oct. 15, 2020, 8:30 p.m.

Oct. 16, 2020

  Jupyter Community: Practices Jupyter Community: Tools Jupyter Core Data Science Applications Enterprise Jupyter Infrastructure Jupyter in Education Jupyter in Scientific Research JupyterCon Sponsor Talks
Oct. 16, 2020, 2:30 p.m.

Speaker Panels
Oct. 16, 2020, 3:30 p.m.

Break
Oct. 16, 2020, 4 p.m. Jupyter in 2020 Fernando Pérez, Afshin T. Darian, Brian E. Granger
Oct. 16, 2020, 5 p.m.

Birds of Feather Discussions
Oct. 16, 2020, 6 p.m.