Interactive Computing with Jupyter: Past, Present, and Future
summary
Jupyter describes a split (2015) that turns IPython into a language-specific backend and exposes a network protocol with 40–50 language kernels so Python, Julia, Rust, C and JavaScript can intermix in one notebook. It demonstrates interactive widgets ('interact') that turn functions into sliders and linked controls, a Bloomberg-backed BQPlot plotting library with client↔Python callbacks, Binder for spinning up reproducible GitHub-hosted notebooks, JupyterHub for multiuser classes (hundreds–thousands), and JupyterLab (pre‑alpha) as a composable IDE — all working now.
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chapters (7)
- 0:00Start
- 5:05Jupyter vs IPython
- 43:10LIGO
- 46:21Sharing a notebook
- 47:00NbViewer
- 47:36Papers
- 57:28The Team
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