List of Talks (preview)

The full program and schedule will be available soon.

• fastpages - A new, open source Jupyter notebook blogging system.

• Jupyter in the Wikimedia ecosystem

• Scaling Jupyter Notebooks for global scale security analysis

• From research to production in a snap using Jupyter Notebooks

• Using Jupyter Notebooks to Empower the Public with Climate and Environmental Justice Data

• Streamline your Data Science projects with Ploomber

• How to avoid 'Death by Jupyter Notebooks' - Towards more effective and educational notebooks

• ¡Bienvenido! Bienvenue! Welcome! JupyterLab and Language Extensions!

• Dr. Schmood's Notebook of Python Calisthenics and Orthodontia

• Getting Jupyter into classrooms to enable more schoolgirls to discover & enjoy Scientific Computing!

• Why develop a snippet library for Jupyter in your subject domain?

• Jupytext

• How Jupyter and geemap enable interactive mapping and analysis of large-scale geospatial datasets

• Teaching teenagers to understand Dark Energy with straight-off-the-telescope data & Jupyter.

• IBM Quantum Experience Notebooks. Serving JupyterHub at scale for the Quantum Computing Community

• Introducing a simple notebook continuous integration workflow

• Electronic Examination using Jupyter Notebook with JupyterHub and nbgrader

• Apache Spark 3.0: Big Data Analytics with GPUs and Jupyter Notebooks

• The Care and Feeding of JupyterHub for Climate Solution Models

• Role of Jupyter Notebook in performing Data Science activities at Educational Institutes.

• ipyannotator - the infinitely hackable annotation framework

• assert browserTest == True # Frontend Testing JupyterLab Extensions With Selenium

• JupyterHub ≠ x, for all x: A tale of two JupyterHubs

• NotebookOps: A pattern for building notebook-centric data platforms

• A Notebook Style Guide

• Teaching an Active Learning class with Jupyter Book

• Interactive Knowledge Graph Visualization in Jupyter Notebook

• Jupyter as an Enterprise “Do It Yourself” (DIY) Analytic Platform

• Reproducible Exploration of Neuroimaging Data

• 2i2c: sustaining open source through hosted Jupyter infrastructure for research and education

• ProvBook: Capturing and Visualizing Provenance in Jupyter Notebooks for Reproducibility

• The Littlest JupyterHub (TLJH) distribution - trouble-free Jupyter Notebooks for your students

• The MariaDB Jupyter kernel

• Introducing QHub: How to Get Your Own Cloud Data Science Platform on the Cheap

• Help your plants to stay healthier with Machine Learning at home

• OperationHub - Enhanced JupyterHub for DevOps Engineers

• A Persistent BinderHub: Democratizing Access to Computational Resources in the Social Sciences

• From Papers to Notebooks-Submission, Review, Presentation & Publication of Notebooks at EarthCube'20

• Jupyter Notebook as a Medium for Experimentalist and Data Scientist Collaboration in neuroImaging

• Optimizing model performance with feature engineering and hyperparameter optimisation

• Automating biological network visualization with Jupyter Notebook

• Cloud Native Repositories for Big Scientific Data

• XVega : A C++ backend for the Vega-Lite visualisation system.

• .NET Jupyter Notebook: Lessoned we learned building multi-language kernel

• Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub

• Interactive Graph Visualization in Jupyter with ipycytoscape

• Advanced Robotics in Jupyter Notebooks and JupyterLab

• What is my GPU doing? Using PyNVML and the NVDashboard Jupyter Lab extension to access GPU metrics

• Redesigning Notebooks for Better Collaboration

• Creating JupyterLab extensions faster

• Building AI Pipelines with Elyra - A deep dive using COVID-19 Analytics Scenario

• Leap of faith: Transitioning from Excel to Jupyter-based applications

• To Jupyter and back again: Seamless interoperability between ipywidgets and Bokeh 2.0

• Using Qri (“query”) to fetch, query, combine and publish datasets.

• Debugging notebooks and python scripts in JupyterLab

• JupyterLab and GenePattern Notebook: Democratizing the accessibility of computational workflows

• FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era

• A Generic Metadata-Store for JupyterLab extensions

• sidestickies - Collaborative Annotation for Jupyter Notebook

• What's new on Elyra - A set of AI centric JupyterLab extensions

• Bridging Code and Interactive Visualization in Jupyter Notebooks with B2

• Explore and Extend AI Pipeline Runtimes with Elyra and JupyterLab

• pydeck: High-scale geospatial visualization for Python

• Using the Jupyterverse to power MADS

• Jupyter-enabled astrophysical analysis for researchers and students

• Exploring the Universe with ESASky's JupyterLab widget

• Exascale system management using Jupyter notebooks

• How we built covid19dashboards.com

• After model.fit, before you deploy: Prototype with FastAPI in Jupyter!

• Intro to Elyra - an AI centric extension for JupyterLab

• A shared Python, R and Q (kdb+) Jupyter Notebook - A Quant Sandbox Dream

• Running non-jupyter applications on JupyterHub with jupyter-server-proxy

• Voilà dashboards for policy support

• Jupyter Real Time Collaboration

• High performance Jupyter: faster workloads with Dask and RAPIDS

• Pulse Physiology Engine: An Interactive Human Physiology Simulator

• Advanced Visualization in Jupyter Notebooks

• The new Jupyter Book - beautiful, interactive, publication-quality books built with Jupyter

• LFortran: Interactive LLVM-based Fortran Compiler for Modern Architectures

• The Grail: A Github Process for Jupyter Notebooks that Just Works

• Building distributed pipelines with Jupyter Notebooks

• Jupyter Telemetry: structured event-logging for Jupyter Applications

• PayPal Notebooks: ML & Data Science experience

• Using and creating JupyterLab extensions

• Supercharging SQL Users with Jupyter Notebooks

• Structuring Notebooks Around Their Outputs

• The other kernel: managing browser resources in notebooks

• Production Notebooks

• jupyter-fs: the next generation Jupyter filesystem