Tutorials#

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.

Technical preparations and background for OceanHackWeek!

  • Please review the “Preparation” materials 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!

Main tutorials#

The following tutorials will be presented live during the US sessions, and will be recorded for later review.

Monday, August 26th#

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 JupyterLab using an example project.

Tuesday, August 27th#

Callum Rollo - 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.

Rich Signell - Xarray Tutorial

Ciara Dorsay - Assessing weather model skill during extreme events: NOAA GFS vs. Sofar Spotter buoy observations of Hurricane Henri: In this tutorial, participants will learn how to query data of different formats (point-wise buoy, gridded weather model) from Amazon’s S3 cloud object storage system, collocate the two, and calculate and visualize the differences between them during a notable weather event using Python.

Wednesday, August 28th#

Myranda Shirk - AI-Assisted Programming: With the recent success of large language models (LLMs) such as ChatGPT, mastery of a programming language is no longer required to write successful code. In this tutorial, we will explore the new workflow of AI-assisted programming and how it can streamline your hackathon project, no matter your coding experience.

Jiarui Yu - Introduction to Transformers: This tutorial includes Transformer’s encoder structure in detail, presenting attention mechanism and transforming the encoder to VIT in order to process 2-d image classification.

Thursday, August 29th#

Camille Ross - R Application

Lectures and Discussions#

Finally, each year we offer brief sessions on non-coding aspects of computational oceanography; this year we are pleased to offer the following.