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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
Cracking the Coding Interview problem solutions in Rust
Ibis Basics: An Introduction to the Portable Python Dataframe Library.
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.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code repository for O'Reilly book