{"product_id":"modeling-and-simulation-in-python-isbn-9781718502161","title":"Modeling and Simulation in Python","description":"\u003cb\u003e\u003ci\u003eModeling and Simulation in Python \u003c\/i\u003eteaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003ci\u003eModeling and Simulation in Python\u003c\/i\u003e is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions.\u003cbr\u003e\u003cbr\u003eClear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.\u003cb\u003eIntroduction\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePart I: Discrete Systems\u003cbr\u003eChapter 1:\u003c\/b\u003e Modeling\u003cbr\u003e\u003cb\u003eChapter 2\u003c\/b\u003e Bike Share System\u003cbr\u003e\u003cb\u003eChapter 3:\u003c\/b\u003e Iteration\u003cbr\u003e\u003cb\u003eChapter 4: \u003c\/b\u003eSweeping Parameters\u003cbr\u003e\u003cb\u003eChapter 5:\u003c\/b\u003e World Population\u003cbr\u003e\u003cb\u003eChapter 6: \u003c\/b\u003eProportional Growth\u003cbr\u003e\u003cb\u003eChapter 7: \u003c\/b\u003eLimits to Growth\u003cbr\u003e\u003cb\u003eChapter 8: \u003c\/b\u003eProjecting Population Growth\u003cbr\u003e\u003cb\u003eChapter 9:\u003c\/b\u003e Analysis of Population Growth\u003cbr\u003e\u003cb\u003eChapter 10:\u003c\/b\u003e Case Studies Part 1\u003cbr\u003e\u003cb\u003ePart II: First Order Systems\u003cbr\u003eChapter 11:\u003c\/b\u003e Epidemiology\u003cbr\u003e\u003cb\u003eChapter 12:\u003c\/b\u003e Modeling Vaccination\u003cbr\u003e\u003cb\u003eChapter 13:\u003c\/b\u003e Sweeping Parameters\u003cbr\u003e\u003cb\u003eChapter 14:\u003c\/b\u003e Nondimensionalization\u003cbr\u003e\u003cb\u003eChapter 15:\u003c\/b\u003e Cooling Coffee\u003cbr\u003e\u003cb\u003eChapter 16: \u003c\/b\u003eAdding Milk\u003cbr\u003e\u003cb\u003eChapter 17: \u003c\/b\u003ePharmacokinetics\u003cbr\u003e\u003cb\u003eChapter 18:\u003c\/b\u003e Glucose and Insulin\u003cbr\u003e\u003cb\u003eChapter 19: \u003c\/b\u003eCase Studies Part 2\u003cbr\u003e\u003cb\u003ePart III: Second Order Systems\u003cbr\u003eChapter 20:\u003c\/b\u003e Pennies\u003cbr\u003e\u003cb\u003eChapter 21:\u003c\/b\u003e Drag\u003cbr\u003e\u003cb\u003eChapter 22: \u003c\/b\u003eBaseball\u003cbr\u003e\u003cb\u003eChapter 23:\u003c\/b\u003e Optimization\u003cbr\u003e\u003cb\u003eChapter 24: \u003c\/b\u003eRotation\u003cbr\u003e\u003cb\u003eChapter 25: \u003c\/b\u003eTorque\u003cbr\u003e\u003cb\u003eChapter 26: \u003c\/b\u003eCase Studies Part 3\u003cbr\u003e\u003cb\u003eAppendix A Under the Hood\u003c\/b\u003e\"An excellent choice for students and professionals alike . . . Straightaway, the book takes us into modeling, using basic Python concepts. With each chapter more complex modeling use cases and language features are being introduced. . . . I like the way A. Downey combined teaching modeling with building Python development skills. It is, in my view, a very effective (and more enjoyable) way of learning.\"\u003cbr\u003e\u003cb\u003e—Peter Schmidt, host of the Code for Thought podcast and Senior Software Engineer at University of College London\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"\u003ci\u003eModeling and Simulation in Python\u003c\/i\u003e is an introduction to physical modeling using a computational approach . . . making it possible to work with more realistic models than what you typically see in a first-year physics class.\"\u003cbr\u003e\u003cb\u003e—Python Kitchen\u003cbr\u003e\u003c\/b\u003e\u003cbr\u003e“Downey’s top-down approach, context-rich and motivating, dramatically lowers the barrier to gaining literacy in programming and explicitly and insightfully teaches modeling. . . . I’m grateful for this book.”\u003cbr\u003e\u003cb\u003e—Phat Vu, Director of the Science \u0026amp; Mathematics Program, Soka University of America\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e“An impressive introduction to physical modeling and Python programming, featuring clear, concise explanations and examples. . . . perfect for readers of any level.”\u003cbr\u003e\u003cb\u003e—Christian Mayer, founder of the Coding Academy Finxter.com and author of \u003ci\u003ePython One-Liners\u003cbr\u003e\u003c\/i\u003e\u003cbr\u003e\u003c\/b\u003e“Downey uses a combination of Python, calculus, bespoke helper functions, and easily accessible online materials to model a diverse and interesting set of simulation projects. In the process, he presents a practical and reusable framework for modeling dynamical systems with Python.”\u003cbr\u003e\u003cb\u003e—Lee Vaughan, \u003cb\u003eformer Senior Principal Scientist for Geological Modeling at ExxonMobil and a\u003c\/b\u003euthor of \u003ci\u003ePython Tools for Scientists\u003c\/i\u003e, \u003ci\u003eReal-World Python\u003c\/i\u003e, and \u003ci\u003eImpractical Python Projects\u003c\/i\u003e \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e“Provides a wealth of instructive examples of all kinds of modeling. . . .  a valuable textbook for classes on scientific computation or guide to exploration for interested amateurs.”\u003cbr\u003e\u003cb\u003e—Bradford Tuckfield, author of \u003ci\u003eDive into Algorithms\u003c\/i\u003e and \u003ci\u003eDive Into Data Science\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\"An ideal introduction to Python and its predictive applications, [\u003ci\u003eModeling and Simulation in Python\u003c\/i\u003e] is comprehensive, exceptionally well organized, and thoroughly 'user friendly' in presentation.\"\u003cbr\u003e\u003cb\u003e—Midwest Book Review\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"It’s a lovely book that doesn’t take long to read, while managing to cover lots of different ideas...Definitely worth a read if you want to play around modeling some equations.\"\u003cbr\u003e\u003cb\u003e—Frances Buontempo, The Magazine of the ACCU\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"Through a blend of accessible science and practical examples, Downey's book demystifies the complex world of simulations, offering readers an invaluable arsenal of modeling techniques. With Python at its core, this guide illuminates the path from theory to application, making it an essential resource for anyone looking to master the art of simulation in science and technology.\"\u003cbr\u003e\u003cb\u003e—c't Magazin\u003c\/b\u003e\u003cb\u003eAllen Downey\u003c\/b\u003e is a Staff Scientist at DrivenData and Professor Emeritus at Olin College, where he taught Modeling and Simulation and other classes related to software and data science. He is the author of several textbooks, including \u003ci\u003eThink Python\u003c\/i\u003e, \u003ci\u003eThink Bayes\u003c\/i\u003e, and \u003ci\u003eElements of Data Science\u003c\/i\u003e. Previously, he taught at Wellesley College and Colby College. He received his Ph.D. in computer science from the University of California, Berkeley in 1997. His undergraduate and master's degrees are from the Civil Engineering department at MIT. He is the author of \u003ci\u003eProbably Overthinking It\u003c\/i\u003e, a blog about data science and Bayesian statistics.","brand":"No Starch Press","offers":[{"title":"Default Title","offer_id":46303184879845,"sku":"NP9781718502161","price":44.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781718502161.jpg?v=1767732856","url":"https:\/\/k12savings.com\/es\/products\/modeling-and-simulation-in-python-isbn-9781718502161","provider":"K12savings","version":"1.0","type":"link"}