A speaker will first take you through an introduction to the Argopy library (slides in PDF here).
Then we will move on to execute the following hands-on notebook:
| Theme | Notebook |
|---|---|
| 🚀 Hands on | Examples of Argopy features |
Select the theme you are the most interested in, and raise your expertise by going through each notebook and exercice there-in.
| Theme | Notebooks |
|---|---|
| 📊 Argo data fetching | Select and fetch data |
| Source and user mode | |
| BGC data specifics | |
| Direct access to one float dataset | |
| How to handle large data selection | |
| 🛠️ Argo data manipulation | Filtering (QC flags, data mode) |
| Vertical interpolation & binning | |
| Compute (TEOS, Optic,Nutrients/Carbonates) | |
| Compute your own per-profile diagnostic | |
| 🗃️ Argo index and meta-data | Working with Argo index files |
| Argo Reference tables lookup | |
| Deployment plan | |
| 🧐 Quality control | CTD data for core DMQC |
| 🎯 Low-level tools | Generic GDAC file system |
| web-API requests |