Description: Hands-On Simulation Modeling with Python by Giuseppe Ciaburro Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Hands-On Simulation Modeling with Python, Second Edition teaches you how to leverage Python to develop simulation models and use various Python packages. The book will help you explore various numerical simulation algorithms and concepts, such as the Markov Decision Process, Monte Carlo methods, and bootstrapping techniques. Publisher Description Learn to construct state-of-the-art simulation models with Python and enhance your simulation modelling skills, as well as create and analyze digital prototypes of physical models with easeKey FeaturesUnderstand various statistical and physical simulations to improve systems using PythonLearn to create the numerical prototype of a real model using hands-on examplesEvaluate performance and output results based on how the prototype would work in the real worldBook DescriptionSimulation modelling is an exploration method that aims to imitate physical systems in a virtual environment and retrieve useful statistical inferences from it. The ability to analyze the model as it runs sets simulation modelling apart from other methods used in conventional analyses. This book is your comprehensive and hands-on guide to understanding various computational statistical simulations using Python. The book begins by helping you get familiarized with the fundamental concepts of simulation modelling, thatll enable you to understand the various methods and techniques needed to explore complex topics. Data scientists working with simulation models will be able to put their knowledge to work with this practical guide. As you advance, youll dive deep into numerical simulation algorithms, including an overview of relevant applications, with the help of real-world use cases and practical examples. Youll also find out how to use Python to develop simulation models and how to use several Python packages. Finally, youll get to grips with various numerical simulation algorithms and concepts, such as Markov Decision Processes, Monte Carlo methods, and bootstrapping techniques.By the end of this book, youll have learned how to construct and deploy simulation models of your own to overcome real-world challenges.What you will learnGet to grips with the concept of randomness and the data generation processDelve into resampling methodsDiscover how to work with Monte Carlo simulationsUtilize simulations to improve or optimize systemsFind out how to run efficient simulations to analyze real-world systemsUnderstand how to simulate random walks using Markov chainsWho this book is forThis book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python. Author Biography Giuseppe Ciaburro holds a PhD in environmental technical physics, along with two masters degrees holds a masters degree in chemical engineering from Università degli Studi di Napoli Federico II, and a masters degreeand in acoustic and noise control from Seconda Università degli Studi di Napoli. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli".He has over 15 20 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in Python and R, and he has extensive experience of working with MATLAB. An expert in acoustics and noise control, Giuseppe has wide experience in teaching professional computer ITC courses (about 15 20 years), dealing with e-learning as an author. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He is currently researching machine learning applications in acoustics and noise control. He was recently included in the worlds top 2% scientists list by Stanford University. Details ISBN 1804616885 ISBN-13 9781804616888 Title Hands-On Simulation Modeling with Python Author Giuseppe Ciaburro Format Paperback Year 2022 Pages 460 Edition 2nd Publisher Packt Publishing Limited GE_Item_ID:139542617; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 63.28 USD
Location: Fairfield, Ohio
End Time: 2024-09-23T03:13:31.000Z
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ISBN-13: 9781804616888
Book Title: Hands-On Simulation Modeling with Python
Number of Pages: 460 Pages
Publication Name: Hands-On Simulation Modeling with Python : Develop Simulation Models for Improved Efficiency and Precision in the Decision-Making Process, 2nd Edition
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2022
Subject: Intelligence (Ai) & Semantics, General, Data Processing, Technical Writing
Type: Textbook
Item Length: 3.6 in
Author: Giuseppe Ciaburro
Subject Area: Mathematics, Computers, Technology & Engineering
Item Width: 3 in
Format: Trade Paperback
