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Audience level:
Novice

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. ipywidgets in aiding Education
  5. Artificial Intelligence for IT Operations (AIOps)
  6. Operationalizing Machine Learning (MLOps) with Jupyter Notebooks
  7. Lux: A Python API for Intelligent Visual Discovery
  8. Jupyter for interactive in-situ visualization with ParaView/Catalyst
  9. (Re)using content between notebooks and beyond
  10. Sharing Notebook within Small Team
  11. Analyzing the use and reproducibility of Jupyter Notebooks using ReproduceMeGit
  12. Measuring notebook reproducibility with repo2docker
  13. OperationHub - Enhanced JupyterHub for DevOps Engineers
  14. Ubermag: Exposing computational magnetism to Python and Jupyter ecosystem
  15. A Jupyter sandbox environment coupled into the high-order Navier-Stokes solver Xcompact3d
  16. The cloud is the limit: scaling limits of JupyterHub
  17. sidestickies - Collaborative Annotation for Jupyter Notebook
  18. What can static analyses do for your JupyterLab project?
  19. NBSafety: Fine-Grained Lineage Tracking for Safer Jupyter Notebooks
  20. Few-Shot Learning: An Overview of Deep Learning Approaches for scarce data.
  21. Leveraging Open Infrastructure with Jupyter Notebook to teach Python during Pandemic

Outline

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