Understand the theory and implementation of simulation. This book covers simulation topics from a scenariodriven approach using Python and rich visualizations and tabulations.ampampnbspThe book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginningintermediate level Python code to create an immersive learning experience that is cohesive and integrated.ampampnbspAfter reading this book you will have an understanding of simulation used in natural sciences engineering and social sciences using Python.What Youll LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve realworld problemsampampnbspWho This Book Is ForEntrylevel to midlevel Python developers from various backgrounds including backend developers academic research programmers data scientists and machine learning engineers.