Applied Agentic Workflow: From Prompt to Product.
You have exactly 60 minutes. Your Goal: Use your AI Pair Programmer (Copilot/Gemini) to build a functioning Space-Themed Python application. You are the Architect; the AI is the Builder. You must direct it clearly.
Goal: Build an interactive map tracking satellite ground tracks or environmental data.
Stack: Python + Streamlit + Folium.
Prompt Strategy:
"Act as a Python expert. Write a Streamlit app that uses Folium to display a map of Iowa. Overlay a mock Sentinel-2 satellite path using a red line. Add a sidebar to toggle the layer."
Goal: Visualization of orbital mechanics.
Stack: Python + Matplotlib + Skyfield.
Prompt Strategy:
"I want to visualize a Molniya orbit. Use the Skyfield library to calculate the position of a satellite with high eccentricity over 24 hours. Plot the Ground Track on a world map."
Goal: A Delta-V calculator for multi-stage systems.
Stack: Python + Streamlit.
Prompt Strategy:
"Create a Streamlit calculator for the Tsiolkovsky rocket equation. Allow the user to add multiple stages dynamically. For each stage, ask for Wet Mass, Dry Mass, and ISP. Calculate the total Delta-V to Mars."
space_app. Open it in VS Code.python -m venv venv.