In this blog, we discuss our experience using Kerchunk to improve access times to short-range streamflow predictions generated by NOAA’s National Water Model Predictions Dataset, achieving a speedup of 4 times, using 16 times less memory.
Using Amazon CloudFront Functions to Facilitate Smooth Project Transitions with Conditional Redirects
In this blog, we detail our experience making this project transition possible for our client by implementing conditional redirects via Amazon CloudFront functions.
We discuss how modularization and extensibility serve to make the scientific Python ecosystem more accessible to users, and how this concept is reflected in STAC.
We outline recent projects tackling complex challenges through the lens of Machine Learning and discuss how our past experience will shape future work.
We discuss how to make US Representative contact information easier to collect through automation using Natural Language Processing.