Overview

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.

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