Applied Communication Engineering: Bridging Theory and Practice Through Hands-on Experiments and Python-based Simulations offers a practical approach to understanding modern communication systems. Combining essential theory with hands-on Python experiments, the book guides readers through signals and systems, sampling, quantization, modulation and demodulation, digital filtering, spectral estimation, error-control coding, noise and fading channels, OFDM, and MIMO. Featuring structured learning pathways, practical laboratory experiments, and implementation-oriented exercises, it helps bridge the gap between mathematical concepts and real-world applications. Designed for students, educators, researchers, and engineering professionals, this book develops practical skills in analyzing, simulating, and understanding contemporary communication technologies.