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

How to run tutorials Colab (anyone), NOAA Hub (anyone with NOAA email) or use NMFS persistent hub with a persistent home directory. For NOAA staff, request to be added to the NMFS Hub.

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, NOAAF)
• Mar 6 - BRT application: creating a fish abundance prediction using PACE remote-sensing reflectance and SEAMAP surveys (Ryan Vandermeulen, NOAAF)
• Mar 13 - BRT application: predicting silver hake fishing hotspots in the Northwest Atlantic (Haley Synan, NOAAF)
• Mar 20 - Intro to convolutional neural networks: comparison of BRT and CNNs (Eli Holmes, NOAAF)
• 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