HackHours 2026

During these stand-alone informal sessions we will get introduced to a variety of tools for ocean data access and analysis in Python (and some R).

When: Fridays 12pm Pacific/3pm Eastern. Register (open to all) Zoom registration

JupyterHub https://noaa.nmfs-openscapes.2i2c.cloud/ (or use https://nmfs-openscapes.2i2c.cloud/ for persistent home directory but you need to be signed up)

Schedule

Schedule will be tweaked as guest speakers confirm, but this shows the planned topics

• Feb 27 - Intro to Boosted Regression Trees: creating global chlorophyll density at depth profiles (Eli Holmes)
• Mar 6 - BRT application: creating a fish abundance prediction using PACE remote-sensing reflectance and SEAMAP surveys (2024–present)
• Mar 13 - BRT application: Predicting silver hake fishing hotspots in the Northwest Atlantic
• Mar 20 - Intro to convolutional neural networks: comparison of BRT and CNNs (Eli Holmes)
• Mar 27 - Intro to Gridded Ocean Data with xarray (Cloud, OPeNDAP, ERRDAP, Copernicus)
• Apr 3 - Intro to Gridded Ocean Data with xarray (Cloud, OPeNDAP, ERRDAP, Copernicus)
• Apr 10 - Accessing and Vizualizing Argo Buoy Data
• Apr 17 - Accessing and Vizualizing Glider Data
• Apr 24 - Intro to Modeled Ocean Data
• May 1 - Intro to Modeled Ocean Data
• May 8 - Intro to Modeled Ocean Data
• May 15 - VizualiZarr for Legacy Data Formats
• May 22 - skipping for Memorial Day long weekend
• May 29 - Advances in Data Vizualization