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Thursday Oct. 15, 2020, 7:30 p.m.–Oct. 15, 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

Thursday Poster Session

Damian Avila, Julia Wagemann

Audience level:
Novice

Brief Summary

Thursday Poster Session

Outline

  1. Teaching QuantEcon DataScience using cloud-based Jupyter notebooks
  2. Jupyter for uncertainty quantification and parameter estimation of computational models
  3. Demand sensing decision support system
  4. How to become financially independence with interactive widgets.
  5. Building a student-centered learning community in Jupyter
  6. OSCOVIDA: Open Science COVID19 Analysis tracking with Jupyter
  7. Climate JupyterLab as an interactive tool in Galaxy
  8. xarray-leaflet: big geo-data visualization in the Jupyter notebook
  9. Training users of weather and climate data through Jupyter Notebooks
  10. Improving reproducibility of hydro-meteorological research and publications with Metview
  11. Jupyter meets the Earth: connecting Jupyter development with geoscience research
  12. End-to-end notebook life cycle at Astro Data Lab
  13. Plasma: versatile e-learning platform powered by The Littlest JupyterHub
  14. A journey from Jupyter's first Contributor in Residence