Notebooks and scripts associated with Data Talks. Recordings can be found on sharepoint (internal).
| Data Talk # | Title | Presenter(s) |
|---|---|---|
| 39 | Rethinking Jupyter: Challenges and Better Practices | JAN |
| 38 | MIKE+Py: A Python Interface for MIKE+ | RYWM |
| 37 | Lightning AI | CLCR, FSCH |
| 36 | Linux in Windows, WSL | JAN |
| 35 | Timeseries with Darts | JAPR |
| 34 | An Introduction (to an Introduction) to Time Series | JAPR |
| 33 | Python environments | JAN |
| 32 | Unsupervised learning with scikit-learn | JAN |
| 31 | Introduction to SQL | JHOP |
| 30 | Data Science with Polars | JAN |
| 29 | MIKE IO 1D | RYWM, GEKI |
| 28 | Model validation with ModelSkill | JEM |
| 27 | Manipulate text files with command-line tools | BJB |
| 26 | Digital Elevation Models | NISI, PACO |
| 25 | Read, modify, and write PFS files with MIKE IO | JEM |
| 24 | Cloud-based notebooks | JAN |
| 23 | Wave Analytics | DACA, STKI |
| 22 | Command line applications | JAN |
| 21 | HycomPy | MOHM |
| 20 | Neural networks with PyTorch | JAN |
| 19 | MIKE 3D Studio - 3D Visualization with Blender | DERE |
| 18 | Python plotting libraries for exploratory data analysis | CLCR |
| 17 | Introduction to Machine Learning with SciKit-Learn | JAN |
| 16 | Git and version control | JEM |
| 15 | AI assistants for code and text | CLCR, JEM |
| 14 | Quarto | JAN |
| 13 | LandUse | KEGR |
| 12 | Streamlit / or interactive widgets | CLCR, PADA |
| 11 | Sentinel-2 satellite imagery | RAME, KEGR |
| 10 | Python library from GitHub template | JEM |
| 9 | Reusable Python Code | JEM |
| 8 | MIKE Cloud Python API | FIKR |
| 7 | MIKE 1D API and mikeio1d | GEKI |
| 6 | xarray | JAN |
| 5 | Notebooks vs. Scripts | CLCR, JEM |
| 4 | FEFLOW API | CVI |
| 3 | Satellite-derived bathymetry | MLRA |
| 2 | MIKE IO 1.0 | JAN, JEM |
| 1 | Introducing Data Talks | JEM, JOSL |