O’Reilly Jupyter Pop-up Boston 2018
2018-03-21
Boston, United States
| title | author | length |
|---|---|---|
| Building analytical microservices powered by Jupyter Kernels | Luciano Resende, Kevin Bates | 26m |
Claims a scalable, multi-tenant, secure way to run Jupyter kernels off the notebook server by turning kernels into cluster applications so heavy Spark drivers… | ||
| Hosting Notebooks for 100,000 Users | Scott Sanderson | 28m |
Quanto peen integrates the Jupyter UI at web scale by replacing filesystem state with a drop‑in PGContents that stores notebooks as blobs in Postgres (using… | ||
| State of Jupyter | Matthias Bussonnier | 40m |
Summary of current Jupyter state with concrete numbers and deliverables: core project spans ~150 repos and 1,000+ contributors, users estimate ~8M and 1.7M… | ||
| Intro to Plotly Dash | Chelsea Douglas | 22m |
Plotly Dash is an open‑source Python framework for building web apps built on Flask, plotly.js and React.js and installable via pip install dash. Apps use a… | ||
| Visualizing machine learning algorithms in the Jupyter notebook | Chakri Cherukuri | 22m |
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| Deep Learning and Deep Integration via Jupyter | Douglas Blank | 24m |
A Jupyter-driven library called connects targets teaching deep learning at liberal-arts colleges by putting explanation notebooks into the design loop, not… | ||
| Panel: Jupyter in Education | Allen Downey, Taylor Martin, Douglas Blank | 31m |
Faculty report using Jupyter every day for four years and running a 14‑week data engineering sequence by provisioning Docker images and DigitalOcean droplets… | ||
| Improved Workflow With Isolated Jupyter Environments | Colin Carroll | 24m |
A tiny tool called Callisto wires a virtualenv or conda env into JupyterLab so a notebook gets a kernel named for that environment; two commands are all that’s… | ||
| Flipping the classroom with Jupyter and Github | Ryan Cooper | 26m |
Uses Jupyter with Octave kernel and the RISE extension to record executable notebooks, hosts everything on GitHub-hosted notebooks, and uses Kaltura quizzes… | ||
| Supporting Reproducibility in Jupyter through Dataflows | David Koop | 21m |
Claims a reproducibility model that makes execution deterministic by assigning persistent cell IDs and running cells bottom-up via a new DF kernel that… | ||
| Citizen Data Science campaign | Dave Stuart | 27m |
Three years of work integrate Jupyter into a highly regulated US intelligence environment, producing an open-source env gallery notebook-sharing platform and… | ||
| From Data Exploration to Modeling to Deployment | Roope Astala | 25m |
Shows an end-to-end Azure notebook workflow that goes from exploration to production: uses Azure Notebooks, Data Science / Deep Learning VMs, HDInsight or… | ||
| Accelerate the Machine Learning Pipeline on Very Large Datasets | Aaron Williams | 23m |
mapD is a columnar SQL database built for GPUs and claims about 100x speed versus CPUs by loading queried columns into GPU memory. A live demo runs four… | ||
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