- Conference
- JupyterCon Data science & ML
- Dates
- Oct 12, 2020 – Oct 16, 2020
- Venue
- —
- Place
- —
- Format
- Online
- Status
- Past
- Attendance
- —
- Website
- cfp.jupytercon.com
- Recorded
- 0 sponsors · 161 speaker appearances
- Notes
- Online-only edition. Dates are those of the General Sessions schedule (12-16 Oct 2020); tutorials/sprints may have run on other days. Speakers and talk titles from the archived general-sessions schedule; affiliations not shown there (null), keynotes not distinguished. Sponsors and prices not researched (online edition).
Ticket prices
No ticket prices recorded
Sponsors 0
No sponsors recorded
Speakers and talks 161
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aaron Bray | — | Speaker | Pulse Physiology Engine: An Interactive Human Physiology Simulator | — |
| Aaron Richter | — | Speaker | High performance Jupyter: faster workloads with Dask and RAPIDS | — |
| Aaron Watters | — | Speaker | Using WebGL2 transform/feedback in Jupyter widgets for advanced computations and graphics | — |
| Afshin T. Darian | — | Speaker | Jupyter in 2020 | — |
| Afshin T. Darian | — | Speaker | A visual debugger in Jupyter | — |
| Alan Chin | — | Speaker | Explore and Extend AI Pipeline Runtimes with Elyra and JupyterLab | — |
| Alan Yu | — | Speaker | What we learned from introducing Jupyter Notebooks to the SQL community | — |
| Alex Remedios | — | Speaker | Introducing a simple notebook continuous integration workflow | — |
| Amit Kumar | — | Speaker | Introducing QHub: How to Get Your Own Cloud Data Science Platform on the Cheap | — |
| Ana Ruvalcaba | — | Speaker | Community building is a sustainability strategy: Not all contributions to Jupyter are on GitHub | — |
| Andrew Duberstein | — | Speaker | pydeck: High-scale geospatial visualization for Python | — |
| Animashree Anandkumar | — | Speaker | Next-generation frameworks for Large-scale AI | — |
| April Wang | — | Speaker | Redesigning Notebooks for Better Collaboration | — |
| Arnim Bleier | — | Speaker | A Persistent BinderHub: Democratizing Access to Computational Resources in the Social Sciences | — |
| Aurel A. Lazar | — | Speaker | FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era | — |
| Ayushi Agarwal | — | Speaker | Kernel Life Cycle Management | — |
| Blaine Mooers | — | Speaker | Why develop a snippet library for Jupyter in your subject domain? | — |
| Brad Miro | — | Speaker | Apache Spark 3.0: Big Data Analytics with GPUs and Jupyter Notebooks | — |
| Brendan O'Brien | — | Speaker | Using Qri (“query”) to fetch, query, combine and publish datasets. | — |
| Brian E. Granger | — | Speaker | Jupyter Governance 2020 | — |
| Brian E. Granger | — | Speaker | Jupyter in 2020 | — |
| Bryan Weber | — | Speaker | Distributing and Collecting Jupyter Notebooks for Manual Grading | — |
| Carlos Herrero | — | Speaker | Advanced Robotics in Jupyter Notebooks and JupyterLab | — |
| Cathryn Carson | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Cheuk Ting Ho | — | Speaker | Interactive Knowledge Graph Visualization in Jupyter Notebook | — |
| Chia-liang Kao | — | Speaker | Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub | — |
| Chiin-Rui Tan | — | Speaker | From Zero to Hero: using Jupyter Notebooks to put Scientific Computing on the map at Girls’ Schools! | — |
| Chris Holdgraf | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Chris Holdgraf | — | Speaker | Publishing with Jupyter: An update from the community | — |
| Chris Holdgraf | — | Speaker | The new Jupyter Book stack: a more powerful, modular, re-usable toolchain | — |
| Chris LaFreniere | — | Speaker | What we learned from introducing Jupyter Notebooks to the SQL community | — |
| Christopher Ostrouchov | — | Speaker | Introducing QHub: How to Get Your Own Cloud Data Science Platform on the Cheap | — |
| Damian Avila | — | Speaker | Using the Jupyterverse to power MADS | — |
| Daniel Mietchen | — | Speaker | Jupyter in the Wikimedia ecosystem | — |
| Dave Stuart | — | Speaker | Jupyter as an Enterprise “Do It Yourself” (DIY) Analytic Platform | — |
| David Brochart | — | Speaker | And Voilà! Turning notebooks into standalone web applications | — |
| David Koop | — | Speaker | Structuring Notebooks Around Their Outputs | — |
| David R. Pugh | — | Speaker | Best practices for managing Jupyter-based data science projects using Conda (+Pip) | — |
| David Schmudde | — | Speaker | Dr. Schmood's Notebook of Python Calisthenics and Orthodontia | — |
| Davide De Marchi | — | Speaker | Voilà dashboards for policy support | — |
| Davis Ford | — | Speaker | Creating JupyterLab extensions faster | — |
| Denton Gentry | — | Speaker | The Care and Feeding of JupyterHub for Climate Solution Models | — |
| Devin Robison | — | Speaker | Optimizing model performance with feature engineering and hyperparameter optimisation | — |
| Dharhas Pothina | — | Speaker | Introducing QHub: How to Get Your Own Cloud Data Science Platform on the Cheap | — |
| Dr. Anjali Mathur | — | Speaker | Role of Jupyter Notebook in performing Data Science activities at Educational Institutes. | — |
| Eduardo Blancas | — | Speaker | Streamline your Data Science projects with Ploomber | — |
| Edward Leardi | — | Speaker | Intro to Elyra - an AI centric extension for JupyterLab | — |
| Eric Charles | — | Speaker | Jupyter Real Time Collaboration | — |
| Fernando Pérez | — | Speaker | Jupyter Governance 2020 | — |
| Fernando Pérez | — | Speaker | Jupyter in 2020 | — |
| Fernando Pérez | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Firas Moosvi | — | Speaker | Teaching an Active Learning class with Jupyter Book | — |
| Fred Reiss | — | Speaker | Building AI Pipelines with Elyra - A deep dive using COVID-19 Analytics Scenario | — |
| Georgiana Dolocan | — | Speaker | Putting the JupyterHub puzzle pieces together | — |
| Georgiana Dolocan | — | Speaker | The Littlest JupyterHub (TLJH) distribution - trouble-free Jupyter Notebooks for your students | — |
| Gonzalo Peña-Castellanos | — | Speaker | ¡Bienvenido! Bienvenue! Welcome! JupyterLab and Language Extensions! | — |
| Hamel Husain | — | Speaker | fastpages - A new, open source Jupyter notebook blogging system. | — |
| Hariraj Sundaravadivelu | — | Speaker | PayPal Notebooks: ML & Data Science experience | — |
| Hawley Helmbrecht | — | Speaker | Jupyter Notebook as a Medium for Experimentalist and Data Scientist Collaboration in neuroImaging | — |
| Ian Hunt-Isaak | — | Speaker | Interactive Graph Visualization in Jupyter with ipycytoscape | — |
| Immanuel Bayer | — | Speaker | ipyannotator - the infinitely hackable annotation framework | — |
| Itay Dafna | — | Speaker | Leap of faith: Transitioning from Excel to Jupyter-based applications | — |
| Jacob Tomlinson | — | Speaker | What is my GPU doing? Using PyNVML and the NVDashboard Jupyter Lab extension to access GPU metrics | — |
| James Colliander | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Jason Yang | — | Speaker | Distributed Computing using Jupyter Notebooks with Spark | — |
| Jean-Christophe Fillion-Robin | — | Speaker | SlicerJupyter: a 3D Slicer kernel for interactive publications | — |
| Jeffrey Mew | — | Speaker | Supercharge your Data Science workflow with Notebooks, Visual Studio Code, and Codespaces | — |
| Jeremy Howard | — | Speaker | Creating delightful libraries and books with nbdev and fastdoc | — |
| Jeremy Tuloup | — | Speaker | A visual debugger in Jupyter | — |
| Johan Mabille | — | Speaker | A visual debugger in Jupyter | — |
| Johan Mabille | — | Speaker | Xeus: an ecosystem of Jupyter kernels | — |
| Jon Bannister | — | Speaker | Notebooker: From research to production in a snap using Jupyter Notebooks | — |
| Jon Sequeira | — | Speaker | .NET Jupyter Notebook: Lessons we learned building multi-language kernel | — |
| Jonathan "Bill" Sparks | — | Speaker | Exascale system management using Jupyter notebooks | — |
| Joseph Spisak | — | Speaker | Deep Learning Development with PyTorch+Jupyter using Heterogenous hardware | — |
| Juan Cruz-Benito | — | Speaker | IBM Quantum Experience Notebooks. Serving JupyterHub at scale for the Quantum Computing Community | — |
| Juan Klopper | — | Speaker | Jupyter - The path to solving outstanding problems | — |
| Julia Wagemann | — | Speaker | How to avoid 'Death by Jupyter Notebooks' - Towards more effective and educational notebooks | — |
| Junhua Zhao | — | Speaker | PayPal Notebooks: ML & Data Science experience | — |
| Junyuan Tan | — | Speaker | Streaming, cross-sectional data visualization in Jupyterlab with Perspective and Apache Arrow | — |
| Kalyan Akkapantula | — | Speaker | Advanced Visualization in Jupyter Notebooks | — |
| Karla Spuldaro | — | Speaker | What's new on Elyra - A set of AI centric JupyterLab extensions | — |
| Karla Spuldaro | — | Speaker | Debugging notebooks and python scripts in JupyterLab | — |
| Karla Spuldaro | — | Speaker | Building AI Pipelines with Elyra - A deep dive using COVID-19 Analytics Scenario | — |
| Karthik Banala | — | Speaker | Building distributed pipelines with Jupyter Notebooks | — |
| Kenan Erdogan | — | Speaker | A Persistent BinderHub: Democratizing Access to Computational Resources in the Social Sciences | — |
| Kenton McHenry | — | Speaker | From Papers to Notebooks-Submission, Review, Presentation & Publication of Notebooks at EarthCube'20 | — |
| Kozo Nishida | — | Speaker | Automating biological network visualization with Jupyter Notebook | — |
| Kunal Bhalla | — | Speaker | A Notebook Style Guide | — |
| Labanya Mukhopadhyay | — | Speaker | assert browserTest == True # Frontend Testing JupyterLab Extensions With Selenium | — |
| Lee Tirrell | — | Speaker | Reproducible Exploration of Neuroimaging Data | — |
| Lindsey Heagy | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Luciano Resende | — | Speaker | What's new on Elyra - A set of AI centric JupyterLab extensions | — |
| Luciano Resende | — | Speaker | Building AI Pipelines with Elyra - A deep dive using COVID-19 Analytics Scenario | — |
| Lucy D'Agostino McGowan | — | Speaker | Equipping and empowering future data scientists with confidence, intuition, and communication skills | — |
| Maalvika Bhat | — | Speaker | Empowering the Public with Environmental Data | — |
| Madhur Tandon | — | Speaker | XVega : A C++ backend for the Vega-Lite visualisation system. | — |
| Marc Wouts | — | Speaker | Jupytext: Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts | — |
| Marcos López-Caniego | — | Speaker | Exploring the Universe with ESASky's JupyterLab widget | — |
| Maria Jose Molina Contreras | — | Speaker | Help your plants to stay healthier with Machine Learning at home | — |
| Maria Naggaga | — | Speaker | .NET Jupyter Notebook: Lessons we learned building multi-language kernel | — |
| Mariana Meireles | — | Speaker | Interactive Graph Visualization in Jupyter with ipycytoscape | — |
| Mariana Meireles | — | Speaker | Xeus: an ecosystem of Jupyter kernels | — |
| Martha Cryan | — | Speaker | A Generic Metadata-Store for JupyterLab extensions | — |
| Martin Renou | — | Speaker | Xeus: an ecosystem of Jupyter kernels | — |
| Matthias Bussonnier | — | Speaker | The Streetwise Guide to JupyterHub Security | — |
| Mattias Wångblad | — | Speaker | Exploring the Universe with ESASky's JupyterLab widget | — |
| Max Klein | — | Speaker | jupyter-fs: the next generation Jupyter filesystem | — |
| Mehmet Kerem Turkcan | — | Speaker | FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era | — |
| Michael James Wilson | — | Speaker | Teaching teenagers to understand Dark Energy with straight-off-the-telescope data & Jupyter. | — |
| Michelle Ufford | — | Speaker | Supercharging SQL Users with Jupyter Notebooks | — |
| Milan Curcic | — | Speaker | LFortran: Interactive LLVM-based Fortran Compiler for Modern Architectures | — |
| Min Ragan-Kelley | — | Speaker | Jupyter Expanding: from shell to notebook to lab and hub | — |
| Mohammad Wasil | — | Speaker | Electronic Examination using Jupyter Notebook with JupyterHub and nbgrader | — |
| Nanthini Balasubramanian | — | Speaker | Optimizing model performance with feature engineering and hyperparameter optimisation | — |
| Nathalie Baracaldo | — | Speaker | Unlocking federated learning capabilities in the Jupyter ecosystem | — |
| Omoju Miller | — | Speaker | Science in the Age of Data: Accelerating Human Progress | — |
| Ondřej Čertík | — | Speaker | LFortran: Interactive LLVM-based Fortran Compiler for Modern Architectures | — |
| Paul Wighton | — | Speaker | Reproducible Exploration of Neuroimaging Data | — |
| Pete Bryan | — | Speaker | Scaling Jupyter Notebooks for global scale security analysis | — |
| Peter Bull | — | Speaker | The Grail: A Github Process for Jupyter Notebooks that Just Works | — |
| PhD | — | Speaker | Help your plants to stay healthier with Machine Learning at home | — |
| Philipp Rudiger | — | Speaker | To Jupyter and back again: Seamless interoperability between ipywidgets and Bokeh 2.0 | — |
| Pratap Vardhan | — | Speaker | How we built covid19dashboards.com | — |
| Praveen Kanamarlapudi | — | Speaker | Kernel Life Cycle Management | — |
| Qiusheng Wu | — | Speaker | How Jupyter and geemap enable interactive mapping and analysis of large-scale geospatial datasets | — |
| Rebecca Kelly | — | Speaker | A shared Python, R and Q (kdb+) Jupyter Notebook - A Quant Sandbox Dream | — |
| Richard Darst | — | Speaker | JupyterHub ≠ x, for all x: A tale of two JupyterHubs | — |
| Rick Wagner | — | Speaker | The Streetwise Guide to JupyterHub Security | — |
| Robert Bindar | — | Speaker | The MariaDB Jupyter kernel | — |
| Rollin Thomas | — | Speaker | assert browserTest == True # Frontend Testing JupyterLab Extensions With Selenium | — |
| Ryan Abernathey | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |
| Ryan Abernathey | — | Speaker | Cloud Native Repositories for Big Scientific Data | — |
| Ryan Herr | — | Speaker | After model.fit, before you deploy: Prototype with FastAPI in Jupyter! | — |
| Saishruthi Swaminathan | — | Speaker | Intro to Elyra - an AI centric extension for JupyterLab | — |
| Sheeba Samuel | — | Speaker | ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility | — |
| Shreyas Cholia | — | Speaker | assert browserTest == True # Frontend Testing JupyterLab Extensions With Selenium | — |
| Simon Willison | — | Speaker | Using Datasette with Jupyter to publish your data | — |
| Stephanie Juneau | — | Speaker | Jupyter-enabled astrophysical analysis for researchers and students | — |
| Suds Narasimhan | — | Speaker | AI Platform Notebooks - A Jupyter Based Notebooks for Enterprises | — |
| Sylvain Corlay | — | Speaker | Xeus: an ecosystem of Jupyter kernels | — |
| Sylvain Corlay | — | Speaker | And Voilà! Turning notebooks into standalone web applications | — |
| Tahir Fayyaz | — | Speaker | Apache Spark 3.0: Big Data Analytics with GPUs and Jupyter Notebooks | — |
| Tam Nguyen | — | Speaker | Handling Custom Jupyter Data Sources | — |
| Tanya Rai | — | Speaker | Introducing Bento: Jupyter Notebooks @ Facebook | — |
| Tema Okun | — | Speaker | Tackling Toxic Culture in Tech: Racism and Its Legacy | — |
| Thomas Ballinger | — | Speaker | The other kernel: managing browser resources in notebooks | — |
| Thorin Tabor | — | Speaker | JupyterLab and GenePattern Notebook: Democratizing the accessibility of computational workflows | — |
| Tim Metzler | — | Speaker | Electronic Examination using Jupyter Notebook with JupyterHub and nbgrader | — |
| Tim Paine | — | Speaker | Production Notebooks | — |
| Tingkai Liu | — | Speaker | FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era | — |
| Tyler Erickson | — | Speaker | How Jupyter and geemap enable interactive mapping and analysis of large-scale geospatial datasets | — |
| Viacheslav Kovalevskyi | — | Speaker | Building Continuous Integration Pipeline With Jupyter Notebooks on GCP | — |
| Vinayak Mehta | — | Speaker | NotebookOps: A pattern for building notebook-centric data platforms | — |
| Weijun Qian | — | Speaker | Building distributed pipelines with Jupyter Notebooks | — |
| Wolf Vollprecht | — | Speaker | Advanced Robotics in Jupyter Notebooks and JupyterLab | — |
| Yifan Wu | — | Speaker | Bridging Code and Interactive Visualization in Jupyter Notebooks with B2 | — |
| Yiwen Li | — | Speaker | Intro to Elyra - an AI centric extension for JupyterLab | — |
| Yiyin Zhou | — | Speaker | FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era | — |
| Yuvi Panda | — | Speaker | Running non-jupyter applications on JupyterHub with jupyter-server-proxy | — |
| Yuvi Panda | — | Speaker | 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education | — |