Simulation with Python
eBook - ePub

Simulation with Python

Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

  1. English
  2. ePUB (mobile friendly)
  3. Only available on web
eBook - ePub

Simulation with Python

Develop Simulation and Modeling in Natural Sciences, Engineering, and Social Sciences

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Simulation with Python by Rongpeng Li,Aiichiro Nakano in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Python. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Apress
Year
2022
ISBN
9781484281857
Topic
Computer Science
Subtopic
Programming in Python
Index
Computer Science

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Calculating Pi with Monte Carlo Simulation
  4. 2. Markov Chain, a Peek into the Future
  5. 3. Multi-armed Bandits, Probability Simulation, and Bayesian Statistics
  6. 4. Balls in a 2-D Box, a Simple Physics Engine
  7. 5. Percolation, Threshold, and Phase Change
  8. 6. Queuing System: How Stock Trades Are Made
  9. 7. Rock, Scissors, and Paper: Multi-agent Simulation
  10. 8. Disease Spreading, Simulating COVID-19 Outbreak
  11. 9. Misinformation Spreading and Simulations on a Graph
  12. Back Matter