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.

DuckDB in Python: A Beginner's Guide.

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

Exploring MyCoast New York Reports for NYC in Python.

A curated list of awesome PostgreSQL software, libraries, tools and resources, inspired by awesome-mysql

General information about NOAA's GitHub Account

These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization

New York City Flooding Reports and Publications.

Transformation to Open Science

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

A Collection of NASA ARSET Courses for Flood Mapping and Synthetic Aperture Radar (SAR)

Exploring FEMA's Preliminary Flood Insurance Rate Map (PFIRM) for NYC using Python.

Socrata Open Data API (SODA) Tutorial Using NYC Open Data. Sample analysis can be found here: https://github.com/mebauer/sodapy-tutorial-nyc-opendata/blob/main/sample-analysis.ipynb

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.

Flood Data Catalog for NYC: Comprehensive Inventory on NYC Open Data.