Notebooks and libraries for spatial/geo Python explorations

📡 A lightweight GIS Software in less than 100 lines of code

Cartopy tutorial: Around the world in 80 ways

🌐 A lightweight 3D visualization of the earth in 150 lines of Qt/OpenGL

Computational tools for urban analysis

Procedural generation of 2D and 3D geometries and scenes (EXPERIMENTAL CODE!)

The Doing Geospatial in Python Workshop (mainly provided at FOSS4G events)

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

DABOT: Disaster Attention Bot

Visualization library for well-known-text strings and shapely geometries.

Python, Javascript e Kafka para geolocalização de veículos em tempo real usando stream de dados e Server-sent events.

Racing line optimization algorithm in python that uses Particle Swarm Optimization.

国家统计局统计用区划和城乡划分代码采集程序，可采集2009年迄今所有年份的计用区划和城乡划分代码

SnapLoc is a product that does automatic image classification and spatio-temporal analysis in order to recommend the places of interest in a new city. The packages that I have used for creating the product are Python(Pandas, NumPy, Shapely, Keras, Leaflet) and TensorFlow

OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.

A dockless mobility data API built with Python/Sanic

Collection of short geospatial scripts and more...

Library with some less common or extended spatial functions

Deprem yardım projesinin bir parçası olarak uydu görüntülerini TIFF formatı üzerinden belirlenen genişlik ve yükseklikte parçalara ayırma ile ilgili çalışmadır. Parçalara ayrılan görüntüler de etiketleme ve model eğitimi için kullanılacaktır.

Learn the basics of geospatial data theory, covering raster, vector, and related concepts. Gain hands-on experience with Python libraries for geospatial data.