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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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