Simulation with Python : develop simulation and modeling in natural sciences, engineering, and social sciences /
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 us...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
[Berkeley, CA] :
Apress L.P.,
[2022]
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Item Description: | Includes index. |
| Physical Description: | 1 online resource (175 pages) |
| ISBN: | 9781484281857 1484281853 |