Cristian Capdevila explains how Prognos is predicting disease.
Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future.
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS.
Luciano Resende explores some of the open source initiatives IBM is leading in the Jupyter ecosystem.
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
Both reproducible science and open source are necessary for collaboration at scale—the nexus for that intermingling is Jupyter.
Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.
Attend a day-long exploration of Jupyter's best practices and practical use cases in business and industry.
William Merchan shares fundamental trends driving the adoption of Jupyter and its deployment in large organizations.
Peter Wang talks about the co-evolution of Jupyter and Anaconda and looks at what’s needed to sustain an open and innovative future.
Jupyter in education, Jupyter-in-the-loop, and reproducibility in science.
Learn how to use PixieDust in Jupyter Notebooks to create quick, easy, and powerful visualizations for exploring your data.
Jupyter for sharing and prototyping, Jupyter in academia, and FAIR principles.
Giving context to code, human-in-the-loop design pattern, and collaborative documents.
Approaches to data analysis, iterative workflows, and writing a book with Jupyter.
Getting started with data science, Jupyter as shareable hub, and JupyterLab adoption.
Script generation from RNNs, Tensorflow book companion notebooks, transportation insights from notebooks, machine learning notebooks.
Jupyter as a learning tool, the JupyterHub Project, and Music21.
Project Jupyter co-founder Brian Granger on the JupyterLab project, its potential role in scientific and tech communities, and the expanding role of notebooks.
TensorFlow cookbook materials, source notebooks, Python lectures, and Software Carpentry.
TSFRESH, 100 days of algorithms, how JupyterHub tamed big science, colorizing photos.
Opinionated Docker stacks, Jupyter Themes, Jupyter in the bank, and Zuckerberg's man in the lab.
JupyterDay Philly, Harmonics deep dive, Jupyter building blocks, and autoencoded Pokémon.
Python cheat sheet, open source DL guide, Keen IO, and digital signal processing.