We are pleased to present a number of tutorials during the week. These tutorials provide a look into the work that your colleagues pursue using coding tools. The software for most tutorials can be downloaded using the tools described in our Tutorials Getting Started page. Please check the schedule for the times of these presentations.
- Please review the ["Preparation" materials](../../resources/prep/index.md) covering basic topics like `Git`, `GitHub`, `conda` package management and the OHW `JupyterHub`
- For tutorials on Python and R scientific tools and techniques that we will use in OceanHackWeek, see the [OHW 2022 tutorials page](../../ohw22/tutorials-index/index.md)!
The following tutorials will be presented live during the US sessions, and will be recorded for later review.
Christian Sarason - Fight the dreaded 'It works for me' demon with conda package management and jupyter notebooks: This tutorial will describe some of the pros, cons and pitfalls of package management and take quick tour of Pixi and JupyterHub using an example project.
Derya Gumustel, Rui Jin, Bruna Strack Candido- Git&GitHub Primer
Filipe Fernandes - Data Access in Python: In this tutorial, participants will use Python to find and access ocean data via a range of protocols including ERDDAP, OPeNDAP and WMS.
Finn Wimberly - Xarray Tutorial
Boris Shapkin - Using LLMs and AI Agents with Climate and Ocean Data
Joe Hamman - Advanced xarray and icechunk with ICESat2 data (optional with ICESat-2 Hackweek)
Valentina Staneva - Reproducible Workflows
Finally, each year we offer brief sessions on non-coding aspects of computational oceanography; this year we are pleased to offer the following.
- OHW Fellows - Science Talks
- Hafeez Oladejo - AI Assisted Programming Discussion following a tutorial on LLMs.
- Alex Kerney - Stresses in the geosciences, an open discussion about mental health in the geosciences.