PyVideo.org · JupyterCon 2017 (original) (raw)
Project Jupyter: From interactive Python to open science - Fernando Perez
A Billion Stars in the Jupyter Notebook - Maarten Breddels
Accelerating data-driven culture at the largest media group in Latin America with Jupyter
Beautiful networks and network analytics made simpler with Jupyter - Daina Bouquin, John DeBlase
Building a notebook platform for 100,000 users - Scott Sanderson (Quantopian)
Building a powerful data science IDE for R, Python, and SQL using JupyterLab - Ali Marami
Building Interactive Applications and Dashboards in the Jupyter Notebook
Citing the Jupyter Notebook in the scientific publication process - Bernie Randles, Hope Chen
Closing the gap between Jupyter and academic publishing - Mark Hahnel, Marius Tulbure
Cloud Datalab: Jupyter with the power of BigQuery and TensorFlow-Kazunori Sato (Google)
Collaboration and Automated Operation as Literate Computing for Reproducible Infrastructure
Data science apps: Beyond notebooks - Natalino Busa (Teradata)
Data Science at UC Berkeley: 2,000 Undergraduates, 50 Majors, No Command Line
Data Science Encapsulation and Deployment with Anaconda Project and JupyterLab
Data science made easy in Jupyter notebooks using PixieDust and InsightFactory - IBM Watson Health)
Data Science Platforms: Your Key to Actionable Analytics - William Merchan (DataScience.com)
Data science without borders - Wes McKinney (Two Sigma Investments)
Deep Learning and Elastic GPUs Using Jupyter - Tim Gasper, Subbu Rama (Bitfusion)
Defactoring Pace of Change: Reviewing Computational Research in the Digital Humanities
Demba Ba interviewed at O'Reilly JupyterCon
Democratizing Access to Open Data by Providing Open Computational Infrastructure
Deploying a Reproducible Course
Design for reproducibility - Lorena Barba (George Washington University)
Empower Scientists; Save Humanity: NumFOCUS
Enhancing Data Journalism with Jupyter - Karlijn Willems (DataCamp)
From Beaker to Beaker - Matt Greenwood (Two Sigma Investments)
Fueling Open Innovation in a Data-Centric World - Peter Wang (Anaconda)
GenePattern Notebook: Jupyter for integrative genomics - Thorin Tabor (University of California)
GeoNotebook: An extension to the Jupyter Notebook for exploratory geospatial.. - Chris Kotfila
How Jupyter Makes Experimental and Computational Collaborations Easy
How JupyterHub Tamed Big Science - Cholia, Thomas, Canon (Lawrence Berkeley National Laboratory)
How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students - Rachel Thomas
Humans in the Loop: Jupyter Notebooks as a Frontend for AI Pipelines at Scale
Industry and Open Source: Working together to Drive Advancements in Jupyter
Inspirational Real-World Examples and Reusable Industry Notebooks
Interactive data exploration with Jason Grout (Bloomberg)
Jupyter and Anaconda: Shaking up the enterprise - Peter Wang
Jupyter at Netflix - Kyle Kelley (Netflix)
Jupyter at O'Reilly - Andrew Odewahn (O'Reilly Media)
Jupyter Frontends: From the Classic Jupyter Notebook to JupyterLab, nteract, and Beyond
Jupyter is democratizing the art of online creation with Peter Wang (Continuum Analytics)
Jupyter: Kernels, Protocols, and the IPython Reference Implementation
Jupyter Notebooks and Production Data Science Workflows - Andrew Therriault (City of Boston)
Jupyter Notebooks and the Road to Enabling Data-Driven Teams
JupyterHub: A Roadmap of Recent Developments and Future Directions
JupyterLab: The Next-Generation Jupyter Frontend
Labz 'N Da Wild 2.0: Teaching signal and data processing... - Demba Ba
Learning to Code Isn’t Enough: Training as a Pathway to Improve Diversity
Lessons Learned from Tens of Thousands of Kaggle Notebooks
Leveraging Jupyter to Build an Excel-Python Bridge
Making science happen faster - Jeremy Freeman (Chan Zuckerberg Initiative)
Managing a 1,000+ Student JupyterHub without Losing Your Sanity
Mapping Data in Jupyter Notebooks with PixieDust - Raj Singh (IBM Cloud Data Services)
Music and Jupyter: A Combo for Creating Collaborative Narratives
Opinionated analysis development - Hilary Parker (Stitch Fix)
Postpublication Peer Review of Jupyter Notebooks Referenced in Articles on PubMed Central
Rachel Thomas interviewed at O'Reilly JupyterCon
Reproducible Dashboards and other great things to do with Jupyter - Mac Rogers (Domino Data Lab)
Scala: Why hasn't an Official Scala Kernel for Jupyter emerged yet?
Teaching from Jupyter Notebooks - Christian Moscardi (The Data Incubator)
The give and take of open source - Brett Cannon (Microsoft | Python Software Foundation)
The Jupyter Notebook as Document: From Structure to Application
Three movements driving enterprise adoption of Jupyter - William Merchan (DataScience.com)
Using Jupyter at the Intersection of Robots and Industrial Biology - Danielle Chou (Zymergen)
Using Jupyter’s Interactiveness to Build Better Predictive Models
Wes McKinney interviewed at O'Reilly JupyterCon
Where money meets open source - Nadia Eghbal (GitHub)
Writing (and publishing) a Book Written in Jupyter Notebooks - Andreas Mueller (Columbia University)
