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Notebooks and scripts associated with Data Talks

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Data Talks

Notebooks and scripts associated with Data Talks. Recordings can be found on sharepoint (internal).

Overview

  • Data Talk 31: Introduction to SQL (JHOP)
  • Data Talk 30: Data Science with Polars (JAN)
  • Data Talk 29: MIKE IO 1D (RYWM, GEKI)
  • Data Talk 28: Model validation with ModelSkill (JEM)
  • Data Talk 27: Manipulate text files with command-line tools (BJB)
  • Data Talk 26: Digital Elevation Models (NISI,PACO)
  • Data Talk 25: Read, modify, and write PFS files with MIKE IO (JEM)
  • Data Talk 24: Cloud-based notebooks (JAN)
  • Data Talk 23: Wave Analytics (DACA, STKI)
  • Data Talk 22: Command line applications (JAN)
  • Data Talk 21: HycomPy (MOHM)
  • Data Talk 20: Neural networks with PyTorch (JAN)
  • Data Talk 19: MIKE 3D Studio - 3D Visualization with Blender (DERE)
  • Data Talk 18: Python plotting libraries for exploratory data analysis (CLCR)
  • Data Talk 17: Introduction to Machine Learning with SciKit-Learn (JAN)
  • Data Talk 16: Git and version control (JEM)
  • Data Talk 15: AI assistants for code and text (CLCR, JEM)
  • Data Talk 14: Quarto (JAN)
  • Data Talk 13: LandUse (KEGR)
  • Data Talk 12: Streamlit / or interactive widgets (CLCR, PADA)
  • Data Talk 11: Sentinel-2 satellite imagery (RAME, KEGR)
  • Data Talk 10: Python library from GitHub template (JEM)
  • Data Talk 9: Reusable Python Code (JEM)
  • Data Talk 8: MIKE Cloud Python API (FIKR)
  • Data Talk 7: MIKE 1D API and mikeio1d (GEKI)
  • Data Talk 6: xarray (JAN)
  • Data Talk 5: Notebooks vs. Scripts (CLCR, JEM)
  • Data Talk 3: FEFLOW API (CVI)
  • Data Talk 3: Satellite-derived bathymetry (MLRA)
  • Data Talk 2: MIKE IO 1.0 (JAN, JEM)
  • Data Talk 1: Introducing Data Talks (JEM, JOSL)

Resources