Python Code Collection for Advanced Satellite Engineering

Python Code Collection for Advanced Satellite Engineering: Scientific, Military, and Constellation Systems

Satellites don't wait for theory. They demand working code - and that's exactly what this book delivers.

This second volume in the series runs over 500 pages, building on the foundations of Book 1 and diving straight into scientific missions, military applications, and constellation-scale design challenges. Every section is driven by Python scripts you can run, adapt, and expand to solve the problems space engineers face every day.

Inside, you'll explore:

Scientific satellites - imaging pipelines, radiometric calibration, ground-track analysis, and uncertainty modeling.

Military systems - jamming detection, anomaly injection, threat simulation, and secure communication links.

Constellations - orbital plane geometry, inter-satellite links, coverage maps, and network tradeoffs.

Advanced orbital dynamics - drag decay, J2 perturbations, and station-keeping maneuvers with propellant tracking.

Thermal and power cycles - eclipse duration, radiator performance, and battery cycling under realistic duty cycles.

Communications and sensing - Ka-band budgets, radar/lidar returns, and atmospheric attenuation models.

Operational coding tools - pass scheduling, timing synchronization, and contract-style mission management.

This is not a glossy overview. It's a code-first engineering reference. Every chapter is designed to be practical, executable, and immediately useful.

If Book 1 gave you the core building blocks, this 500+ page second volume takes you into the domain of advanced satellite missions - from Earth science to defense to multi-satellite constellations.

Python Code Collection for Advanced Satellite Engineering: Scientific, Military, and Constellation Systems is your blueprint for coding, simulating, and mastering the next level of spacecraft design.