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Tuesday Oct. 13, 2020, 7:30 p.m.–Oct. 13, 2020, 8:30 p.m. in Data Science Applications, Enterprise Jupyter Infrastructure, Jupyter Community: Practices, Jupyter Community: Tools, Jupyter Core, Jupyter in Education, Jupyter in Scientific Research, JupyterCon Sponsor Talks

Tuesday Poster Session

Damian Avila, Julia Wagemann

Audience level:

Brief Summary

Tuesday Poster Session


  1. Unleashing Jupyter in Noteable notebooks
  2. Building Reproducibility and Efficiency into Document Collaboration Workflows from Jupyter Notebooks
  3. Demystifying PIP and Conda by visualizing the work environment in Jupyter Notebook
  4. Artificial Intelligence for IT Operations (AIOps)
  5. Lux: A Python API for Intelligent Visual Discovery
  6. Jupyter for interactive in-situ visualization with ParaView/Catalyst
  7. (Re)using content between notebooks and beyond
  8. Sharing Notebook within Small Team
  9. Analyzing the use and reproducibility of Jupyter Notebooks using ReproduceMeGit
  10. Measuring notebook reproducibility with repo2docker
  11. OperationHub - Enhanced JupyterHub for DevOps Engineers
  12. A Jupyter sandbox environment coupled into the high-order Navier-Stokes solver Xcompact3d
  13. The cloud is the limit: scaling limits of JupyterHub
  14. sidestickies - Collaborative Annotation for Jupyter Notebook
  15. What can static analyses do for your JupyterLab project?
  16. NBSafety: Fine-Grained Lineage Tracking for Safer Jupyter Notebooks