Python UAV Sizing & Optimization Script

I need a clean, well-commented Python script that automatically sizes and optimises an agricultural multirotor UAV, then presents the viable design envelopes as clear graphs and charts. The workflow should accept a small set of input parameters (mission profile, desired payload, field size, environmental limits) and iterate through the relevant design variables to output families of acceptable configurations so I can quickly compare trade-offs. Core expectations • End-to-end calculation: from aerodynamic/thrust requirements through power and weight balance to final performance metrics. • Visual output: matplotlib or Plotly graphs that instantly show the feasible regions and highlight the best-performing points; no other visual formats are required. • Clean structure: modular functions, sensible naming, and a short README explaining how to extend or adjust the assumptions. Deliverables 1. Fully documented .py file (or Jupyter notebook) ready to run. 2. Sample input file and the resulting graphs (PNG or interactive HTML). 3. Brief write-up (Markdown is fine) summarising methodology, key equations, and how to interpret each chart. I will validate the script by running it with a different mission profile; the output graphs must update automatically and all computed values need to stay within physical limits. If this sounds straightforward for you, let me know how you plan to structure the optimisation loop and which numerical libraries you prefer.