This series is designed to familiarize participants with EUMETSAT’s data access services, focusing on interacting with Data Store and Data Tailor APIs through the Python Library EUMDAC.
Session 4 aims to introduce participants to leveraging EUMDAC’s capabilities through scripting languages, focusing on Jupyter Notebooks. The content includes an overview of Jupyter Notebooks, their integration with EUMDAC, and a demonstration of using the DAS Jupyter Notebooks. Participants will engage in guided sessions, running pre-created Jupyter Notebooks, understanding exceptions thrown by the library, and learning the data tailor job management process as a practical example.
Participants who attend every session of this series will have the opportunity to receive a certificate of participation.