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Simulation with Python - Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences (Paperback, 1st ed.)
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Simulation with Python - Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences (Paperback, 1st ed.)
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Understand the theory and implementation of simulation. This book
covers simulation topics from a scenario-driven approach using
Python and rich visualizations and tabulations. The 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 beginning-intermediate level
Python code to create an immersive learning experience that is
cohesive and integrated. After reading this book, you will have an
understanding of simulation used in natural sciences, engineering,
and social sciences using Python. What You'll Learn Use Python and
numerical computation to demonstrate the power of simulation Choose
a paradigm to run a simulation Draw statistical insights from
numerical experiments Know how simulation is used to solve
real-world problems Who This Book Is For Entry-level to mid-level
Python developers from various backgrounds, including backend
developers, academic research programmers, data scientists, and
machine learning engineers. The book is also useful to high school
students and college undergraduates and graduates with STEM
backgrounds.
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