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Simulation with Python: Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

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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.

Availability
Inventory Code Barcode Call Number Location Status
2008000320EB0005104005.74 Li sCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
-
Call Number
005.74 Li s
Publisher
Los Angeles, USA : Apress Berkeley, CA.,
Collation
xv, 166p.: Ill.
Language
English
ISBN/ISSN
978-1-4842-8185-7
Classification
005.74
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Data structures (Computer science)
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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