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Conference Schedule

Tutorial Sessions — Monday Oct. 5, 2020

	Tutorial	Office Hours
Oct. 5, 2020, 9 a.m.	Exploring Gender Bias in Word Embeddings Shlomi Hod
Oct. 5, 2020, 10:30 a.m.	Break
Oct. 5, 2020, 11 a.m.	Exploring Gender Bias in Word Embeddings Shlomi Hod
Oct. 5, 2020, 12:30 p.m.	Break
Oct. 5, 2020, 2 p.m.	The Jupyter Interactive Widget Ecosystem Matt Craig, Itay Dafna, Martin Renou, Mehmet Bektas
Oct. 5, 2020, 3:30 p.m.	Break
Oct. 5, 2020, 4 p.m.	The Jupyter Interactive Widget Ecosystem Matt Craig, Itay Dafna, Martin Renou, Mehmet Bektas	Office Hours: The Jupyter Interactive Widget Ecosystem Matt Craig, Itay Dafna, Martin Renou, Mehmet Bektas
Oct. 5, 2020, 5 p.m.
Oct. 5, 2020, 5:30 p.m.

Tutorial Sessions — Tuesday Oct. 6, 2020

	Tutorial	Office Hours
Oct. 6, 2020, 9 a.m.	Clustering algorithms using Python and scikit-learn Fawaz Siddiqi
Oct. 6, 2020, 10:30 a.m.	Break
Oct. 6, 2020, 11 a.m.	Clustering algorithms using Python and scikit-learn Fawaz Siddiqi	Office Hours: Exploring Gender Bias in Word Embeddings Shlomi Hod
Oct. 6, 2020, noon
Oct. 6, 2020, 12:30 p.m.	Break
Oct. 6, 2020, 2 p.m.	Shiny App in Python? Bokeh + Jupyter notebook Cheuk Ting Ho
Oct. 6, 2020, 3:30 p.m.	Break
Oct. 6, 2020, 4 p.m.	Shiny App in Python? Bokeh + Jupyter notebook Cheuk Ting Ho
Oct. 6, 2020, 5 p.m.

Tutorial Sessions — Wednesday Oct. 7, 2020

	Tutorial	Office Hours
Oct. 7, 2020, 9 a.m.	Network Analysis Made Simple Eric Ma
Oct. 7, 2020, 10 a.m.	Network Analysis Made Simple Eric Ma	Office Hours: Clustering algorithms using Python and scikit-learn Fawaz Siddiqi
Oct. 7, 2020, 10:30 a.m.	Break
Oct. 7, 2020, 11 a.m.	Network Analysis Made Simple Eric Ma
Oct. 7, 2020, noon	Network Analysis Made Simple Eric Ma	Office Hours: Shiny App in Python? Bokeh + Jupyter notebook Cheuk Ting Ho
Oct. 7, 2020, 12:30 p.m.	Break
Oct. 7, 2020, 1 p.m.	Break
Oct. 7, 2020, 2 p.m.	Fundamentals of High-Performance Data Science with RAPIDS Zahra Ronaghi
Oct. 7, 2020, 3:30 p.m.	Break
Oct. 7, 2020, 4 p.m.	Fundamentals of High-Performance Data Science with RAPIDS Zahra Ronaghi
Oct. 7, 2020, 5:30 p.m.
Oct. 7, 2020, 9 p.m.		Office Hours: Network Analysis Made Simple Eric Ma
Oct. 7, 2020, 11 p.m.

Tutorial Sessions — Thursday Oct. 8, 2020

	Tutorial	Office Hours
Oct. 8, 2020, 9 a.m.	Using RAPIDS and Jupyter to accelerate visualization workflows Allan Enemark, Ajay Thorve, Bryan Van de Ven
Oct. 8, 2020, 10:30 a.m.	Break
Oct. 8, 2020, 11 a.m.	Using RAPIDS and Jupyter to accelerate visualization workflows Allan Enemark, Ajay Thorve, Bryan Van de Ven
Oct. 8, 2020, 12:30 p.m.	Break
Oct. 8, 2020, 2 p.m.	Developing Extensions for JupyterLab Martha Cryan, Alex Bozarth, Karla Spuldaro, Max Klein
Oct. 8, 2020, 3 p.m.		Office Hours: Fundamentals of High-Performance Data Science with RAPIDS Zahra Ronaghi
Oct. 8, 2020, 3:30 p.m.	Break
Oct. 8, 2020, 4 p.m.	Developing Extensions for JupyterLab Martha Cryan, Alex Bozarth, Karla Spuldaro, Max Klein
Oct. 8, 2020, 5:30 p.m.
Oct. 8, 2020, 9 p.m.		Office Hours: Using RAPIDS and Jupyter to accelerate visualization workflows Allan Enemark, Ajay Thorve, Bryan Van de Ven
Oct. 8, 2020, 10 p.m.

Tutorial Sessions — Friday Oct. 9, 2020

	Tutorial	Office Hours
Oct. 9, 2020, 9 a.m.	Creating a Jupyter Book with The Turing Way Malvika Sharan, Martina G. Vilas, Sarah Gibson
Oct. 9, 2020, 10:30 a.m.	Break
Oct. 9, 2020, 11 a.m.	A Beginners Tour Through Virtual Environments and Conda Environments Matt Harrison
Oct. 9, 2020, 12:30 p.m.	Break
Oct. 9, 2020, 2 p.m.	Open Source Fundamentals Andy Terrel, Carol Willing, Daniel S. Katz, Erik Tollerud, Gabriela de Queiroz, Hamel Husain, Jed Brown, Malvika Sharan, Neil P. Chue Hong, Stephan Druskat, Tania Allard	Office Hours: Creating a Jupyter Book with The Turing Way Malvika Sharan, Martina G. Vilas, Sarah Gibson
Oct. 9, 2020, 3 p.m.
Oct. 9, 2020, 3:30 p.m.	Break
Oct. 9, 2020, 4 p.m.	Open Source Fundamentals Andy Terrel, Carol Willing, Daniel S. Katz, Erik Tollerud, Gabriela de Queiroz, Hamel Husain, Jed Brown, Malvika Sharan, Neil P. Chue Hong, Stephan Druskat, Tania Allard
Oct. 9, 2020, 5 p.m.		Office Hours: Developing Extensions for JupyterLab Martha Cryan, Alex Bozarth, Karla Spuldaro, Max Klein
Oct. 9, 2020, 5:30 p.m.
Oct. 9, 2020, 6 p.m.
Oct. 9, 2020, 8:30 p.m.		Office Hours: The Jupyter Interactive Widget Ecosystem Matt Craig, Itay Dafna, Martin Renou, Mehmet Bektas
Oct. 9, 2020, 9:30 p.m.

General Sessions — Monday 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		Using the Jupyterverse to power MADS Damian Avila
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.

General Sessions — Tuesday 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	Jupyter Real Time Collaboration Eric Charles	Redesigning Notebooks for Better Collaboration April Wang
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.

General Sessions — Wednesday 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.	Structuring Notebooks Around Their Outputs David Koop	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	Empowering the Public with Environmental Data Maalvika Bhat	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.

General Sessions — Thursday 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.	How we built covid19dashboards.com Pratap Vardhan	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			Production Notebooks Tim Paine			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.			Break
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.

General Sessions — Friday Oct. 16, 2020