Modeling and Simulation in Python

Python is a powerful computational tool that is easy to use and provides efficient versatility. Modeling and Simulation in Python introduces fundamental computational modeling techniques that are used in a variety of science and engineering disciplines. It emphasizes algorithmic thinking skills and includes a number of interesting examples, such as Shakespeare, movie databases, virus spread, and Chess. Readers do not have to be Python experts, but a working knowledge of the language is required.

Format: Hardback
Length: 314 pages
Publication date: 17 May 2022
Publisher: Taylor & Francis Ltd

Python, a versatile and user-friendly language, has emerged as a powerful computational tool, witnessing remarkable growth in its usage. Its extensive tool libraries provide it with remarkable efficiency, enabling users to create insightful models and simulations. With the continuous expansion of these tools, the possibilities for data analysis and interpretation are endless. While the ease of creating a pipeline through these tools is appealing, it is important to note that their accuracy is not guaranteed. Building a simulation can be a complex and intricate process, prone to various errors and unforeseen complications. Users must possess a deeper understanding of not only the technical aspects of pipeline construction but also the underlying principles and assumptions that govern the simulation.

Modeling and Simulation in Python serves as an introductory guide to fundamental computational modeling techniques employed across diverse scientific and engineering fields. It emphasizes the development of algorithmic thinking skills through the utilization of various computational environments. The book includes a range of captivating examples, such as analyzing Shakespeare's works, exploring movie databases, studying virus spread, and examining Chess strategies.

Key Features:

The book offers a comprehensive exploration of several theories and applications, accompanied by fully functional Python scripts. All the Python functions developed for this book are publicly accessible on GitHub, providing readers with a valuable resource for further exploration and learning.

While a working knowledge of Python is assumed for readers, this book is designed to be accessible to individuals with varying levels of expertise. It serves as an educational and foundational resource for students interested in delving deeper into the foundations of modeling and simulation.

In conclusion, Python's growing popularity as a computational tool is driven by its simplicity, versatility, and extensive tool libraries. While the ease of creating a pipeline through these tools is appealing, it is crucial to possess a comprehensive understanding of the underlying principles and assumptions to ensure accurate and reliable results. Modeling and Simulation in Python provides a valuable introduction to computational modeling techniques, offering a solid foundation for students and professionals seeking to advance their knowledge in this field.

Weight: 770g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032116488