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Panel: Jupyter in Education

Panelat O’Reilly Jupyter Pop-up Boston 2018 · on Wednesday, 2018-03-21· [python]
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Faculty report using Jupyter every day for four years and running a 14‑week data engineering sequence by provisioning Docker images and DigitalOcean droplets so students can spin up containers, SSH in, and build a pipeline from web app to storage without local installs. Notebooks let students record a microphone sample and see a Fourier transform in 10 minutes, but instructors note students need explicit training — a first-year writing experiment (3.5 years ago) showed markdown, cell execution, and workflow concepts do not transfer automatically.

AI-written summary · about

  1. 0:00Education and Jupyter
  2. 4:28Infrastructure challenges
  3. 7:27Maker pedagogy approach
  4. 11:09Library and publishing
  5. 15:47Assessment and teaching
  6. 19:42Equity and engagement
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