Starred repositories
Examples of analyzing FloodNet NYC data.
Super-fast modelling of dynamic compound flooding in Coastal Systems
Code examples for the book titled Spatial Data Management with DuckDB
Simple and fast watershed delineation in python
Code examples for the book titled Introduction to GIS Programming
Downloading National Flood Insurance Program (NFIP) Datasets with OpenFEMA API
Python tools for interacting with, editing, and visualizing EPA SWMM5 models
OpenTopography / RiverREM
Forked from klarrieu/RiverREMMake river relative elevation models (REM) and REM visualizations from an input digital elevation model (DEM).
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation ana…
Analyzing Flood Insurance Claim Trends in New York City: Insights from FEMA's National Flood Insurance Program Data
Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
💧 This repository holds a list of open source Python packages interesting to Hydrologists
A sensitivity analysis experiment using SWMManywhere
SWMManywhere is used to derive and simulate a sewer network anywhere in the world
DuckDB is an analytical in-process SQL database management system
FEMA Disaster Declarations and Public Assistance Data Analysis.
This project is intended to demonstrate how to use the National Structure Inventory (NSI) API in Python.
This notebook accompanies the course Use PyStarburst for Data Analysis, which is part of the overall course Getting Started with PyStarburst on Starburst Academy.
Resource for the book Trino: The Definitive Guide (and formerly Presto: The Definitive Guide)
MTA Subway Origin-Destination Ridership Estimate for 2023.
Streamlit — A faster way to build and share data apps.
A package for adding parametric uncertainty to the national structure inventory and estimating flood losses with uncertain depth-damage relationships
This repo containse the demos and link to slides for the Ibis + DuckDB geospatial talk