🚀 GSS Dev Startup Materials

Quick guide for getting started with some basic dev tools common in creating geospatial analysis and automation workflows

Part 1 wsl starter

Install WSL
Python setup in WSL
Virtual environments (venv)
Basic Linux concepts (as needed), VS Code
Basic Git startup workflows (feature branches, commits, PRs)

Part 2 uv starter

Astral-UV (environment and package management)
Installation
Creating projects and virtual environments
Working with others
Running using uv

Part 3 .env starter

What not to do
Environment variables overview
Terminal and Python dotenv

Part 4 Debug'n with VSCode

Debugging with VSCode
UI, breakpoints, stepping, watchlist
Debug console
Code launch config

Example Debug Config with args and env file

        {
            "name": "Python Debugger: Demo args and envFile",
            "type": "debugpy",
            "request": "launch",
            "program": "${file}",
            "console": "integratedTerminal",
            "args": ["1","2","3","4","5"],
            "envFile": "${workspaceFolder}/.env"
        }

Part 5 Podman

Installation of Podman Podman Compose
Starting big with PostGIS
Run container
Stop container
Delete container

Part 6 Frontend

Read

• fundamentals
• react intro

Then tempt your fate with the final boss - frontend with react typescript

Other Future Ideas

S3 Object Storage, Cloud native data formats
Fastapi, pydantic, duckdb
Dockerfiles, Compose-files, Images, Containers Podman