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

Python Wrappers for SWMM

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.

The National Structure Inventory

Resource for the book Trino: The Definitive Guide (and formerly Presto: The Definitive Guide)

Big Data on NYC Open Data.

Flood Python Toolbox

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

Leetcode solutions

Cracking the Coding Interview problem solutions in Rust

Ibis Basics: An Introduction to the Portable Python Dataframe Library.

Geoclient geocoder

Analyzing FEMA's National Flood Insurance Program (NFIP) Data With DuckDB.

A Beginner's Guide to DuckDB's Python Client

Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.