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In today's dynamic digital world, Application Programming Interfaces (APIs) play a vital role in seamless data sharing, process automation and application integration. This workshop will equip you with essential knowledge and skills to utilize an API connected to the Ocean Networks Canada (ONC) data archive. Using Jupyter notebooks, you will retrieve and visualize data. You will also run a simple machine learning algorithm to analyze a data set pulled down from that archive.
The workshop includes an introduction to ONC’s Oceans 3.0 data management and archival system and its accompanying API based on the OpenAPI specification. We will work through several task-based scenarios based on actual interesting events and phenomena observed in the data archive, accessing and plotting them with Python. Additionally, you will learn how to cite data using this system.
Students, researchers, and early/mid career professionals who are keen on staying at the forefront of data-driven discoveries are invited to participate. This workshop is geared to beginner and intermediate proficiency levels. Basic programming experience is expected; python experience is beneficial but not required.
Participation requirements include access to the internet with 50 Mbps download speeds or higher, an up-to-date browser (Firefox, Chrome, or Edge) and a minimum of 8GB RAM machine with the recent operating system, either Windows or Mac.
AGU 2024 Annual Conference, Washington DC
Sunday, 8 December 2024, 8:30AM - Noon
Marriott Marquis, Independence D