Directory of Useful Code

NOTE: This page lists my main projects, code examples, and shared resources related to programming, geomatics, spatial analysis, and databases.

Introduction

Welcome to my GitHub repository showcase!
Here you will find:

• Useful scripts for processing spatial data,
• Complete projects for creating geospatial applications,
• Examples of Python integration with various databases.

Each repository includes a brief description, an access link, and sometimes usage recommendations.

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Main Repositories

1. geolabspace - Codespace Example for Geomatics

• Link: https://github.com/voirinprof/geolabspace
• Summary: A ready-to-use environment (GitHub Codespaces) for coding in Python in a geospatial context.
• Key Points:
  • Pre-installed Python
  • Spatial libraries (geopandas, shapely, folium)
  • Tutorials for getting started with geospatial programming

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2. gis_nosql_docker - Routing Application Combining Redis and Neo4j

• Link: https://github.com/voirinprof/gis_nosql_docker
• Summary: Demo of an application combining fast address search with Redis and optimal route calculation using Neo4j.
• Key Points:
  • Python scripts for interacting with Redis and Neo4j
  • Pathfinding algorithms (Dijkstra)

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3. gis_nx_docker - Routing with networkx

• Link: https://github.com/voirinprof/gis_nx_docker
• Summary: Application for routing calculations without using a database.
• Key Points:
  • Using networkx
  • Examples of spatial queries
  • Loading GeoJSON and Shapefile files

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4. gis_pgrouting_docker - Using pgRouting with Python

• Link: https://github.com/voirinprof/gis_pgrouting_docker
• Summary: Practical scripts for using pgRouting from Python, on a spatial road network in PostGIS.
• Key Points:
  • Preparing road networks
  • Executing pgr_createTopology, pgr_dijkstra

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5. neo4j_docker - Getting Started with Neo4j

• Link: https://github.com/voirinprof/neo4j_docker
• Summary: Scripts for getting started with Neo4j.
• Key Points:
  • Using Neo4j with a web service
  • Queries

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6. neo4j_docker - Getting Started with Neo4j

• Link: https://github.com/voirinprof/neo4j_docker
• Summary: Scripts for getting started with Neo4j.
• Key Points:
  • Using Neo4j with a web service
  • Queries

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7. redis_docker - Getting Started with Redis

• Link: https://github.com/voirinprof/redis_docker
• Summary: Scripts for getting started with Redis.
• Key Points:
  • Using Redis with a web service
  • Queries

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8. mongodb_docker - Getting Started with MongoDB

• Link: https://github.com/voirinprof/mongodb_docker
• Summary: Scripts for getting started with MongoDB.
• Key Points:
  • Using MongoDB with a web service
  • Queries

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9. python_webservices_docker - Getting Started with Flask and FastAPI

• Link: https://github.com/voirinprof/python_webservices_docker
• Summary: Scripts for getting started with Flask and FastAPI.
• Key Points:
  • Using Flask as a web service
  • Using FastAPI as a web service

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10. geoserver_docker - Getting Started with GeoServer

• Link: https://github.com/voirinprof/geoserver_docker
• Summary: Application for getting started with GeoServer.
• Key Points:
  • Using GeoServer with WMS, WFS services
  • Small application with a web client

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11. qgis_docker - Getting Started with QGIS Server

• Link: https://github.com/voirinprof/qgis_docker
• Summary: Application for getting started with QGIS Server.
• Key Points:
  • Using QGIS Server with a Flask service
  • Small application with a web client

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12. mapnik_docker - Getting Started with Mapnik

• Link: https://github.com/voirinprof/mapnik_docker
• Summary: Application for getting started with Mapnik.
• Key Points:
  • Using Mapnik with a Flask service
  • Small application with a web client

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13. python-geo-colab - Getting Started with Colab and Geomatics

• Link: https://github.com/voirinprof/python-geo-colab
• Summary: A collection of Colab notebooks that allow the use of GEE.
• Key Points:
  • Using GEE in Colab
  • Demonstrations of random forest and deeplabv3

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14. cookbook_python3 - Basic Operations in Python for Geomatics

• Link: https://github.com/yvoirin/cookbook_python3
• Summary: A set of useful scripts for geomatics.
• Key Points:
  • Using fiona, rasterio, pyproj, opencv, pandas, geopandas, …

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Additional Resources

• My useful snippets: small reusable code snippets for your projects
• My Docker Compose configurations: to easily deploy complete geospatial environments
• My tutorials and courses: step-by-step guides for learning Python applied to GIS

📌 Coming soon: new projects related to QGIS Python plugins, …

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Links

Languages and web applications

• Python documentation
• JavaScript documentation (MDN)
• TypeScript documentation
• Phaser documentation
• Vue.js documentation
• React documentation
• Angular documentation
• Vite documentation
• Pinia documentation
• Leaflet documentation
• OpenLayers documentation
• MapLibre GL JS documentation

Python and geospatial libraries

• NumPy documentation
• pandas documentation
• GeoPandas documentation
• Shapely documentation
• Fiona documentation
• Rasterio documentation
• GDAL documentation
• pyproj documentation
• Matplotlib documentation
• Folium documentation
• NetworkX documentation
• Rtree documentation
• Pillow documentation
• OpenCV documentation
• Requests documentation
• PyYAML documentation

Geospatial data and large-scale processing

• PySTAC Client documentation
• odc-stac documentation
• Dask documentation
• xarray documentation
• Google Earth Engine Python API documentation

Web services, automation, and testing

• Flask documentation
• FastAPI documentation
• Uvicorn documentation
• Pydantic documentation
• PyWPS documentation
• Celery documentation
• Flower documentation
• Locust documentation

Databases and Python drivers

• PostgreSQL documentation
• PostGIS documentation
• pgRouting documentation
• Psycopg 3 documentation
• Psycopg 2 documentation
• SQLAlchemy documentation
• GeoAlchemy 2 documentation
• Redis documentation
• redis-py documentation
• Neo4j documentation
• Neo4j Python driver documentation
• Neo4j Graph Data Science documentation
• MongoDB documentation
• PyMongo documentation

Artificial intelligence and computer vision

• PyTorch documentation
• Torchvision documentation
• Ultralytics documentation
• Segment Geospatial (SamGeo) documentation

GIS servers and tools

• QGIS Server documentation
• PyQGIS Developer Cookbook
• GeoServer documentation
• MapServer documentation
• Mapnik documentation

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How to Contribute

• ⭐️ Star a repository if you find it useful
• 🐛 Report a bug or suggest an improvement via Issues
• 🔥 Fork and submit Pull Requests if you want to help improve these resources