Python For Engineering and Scientific Computing

Name: Python For Engineering and Scientific Computing
Brand: Paradigm
Availability: InStock
ISBN: 9781806106042

Practical Applications with NumPy, SciPy, Matplotlib, and More

Publisher:Packt Publishing Limited

By: Rheinwerk Publishing, Inc and Veit Steinkamp

Paid access

|Jun 2025

E-Book €40.99Institutions €142.95

Description

Explore a comprehensive guide focused on Python programming for engineering and scientific computing. Learn essential modules and apply them through projects to solve real-world problems.

Key Features

Comprehensive coverage of Python libraries essential for engineering and scientific tasks
Integration of practical projects to reinforce learning and application of concepts
Step-by-step guidance from basic programming to advanced simulations and interactive applications

Book Description

This book provides a thorough introduction to Python programming designed for engineers and scientists. It begins with foundational topics like development environments and program structures, then introduces key Python libraries such as NumPy, SymPy, SciPy, Matplotlib, and VPython. Clear explanations and practical exercises help readers write efficient, well-structured code while progressing through increasingly complex projects.
The content covers core programming paradigms including functions, branching, and object-oriented design, followed by numerical analysis with NumPy and symbolic math with SymPy. Detailed chapters on data visualization with Matplotlib and 3D animations with VPython enhance comprehension. Additional focus on statistical computations, Boolean algebra, and interactive GUI programming with Tkinter prepares readers for real-world applications. Each chapter ends with project tasks reinforcing hands-on learning.
Throughout the book, readers build a strong skill set combining programming expertise and scientific problem-solving. By the end, they will confidently use Python’s libraries to solve diverse engineering and scientific challenges. This practical, project-based approach ensures knowledge is both solid and immediately useful in research and professional work.

What you will learn

Understand Python syntax and program structures for engineering tasks
Apply numerical methods using NumPy for scientific computing needs
Create data visualizations with Matplotlib for clear analysis
Perform symbolic mathematics using SymPy for complex equations
Develop interactive applications with Tkinter for user interfaces
Simulate physical systems and animations using VPython tools

Who this book is for

Ideal for engineers, scientists, and students with basic programming knowledge looking to apply Python in technical fields. A foundational understanding of programming concepts and mathematics is recommended to fully benefit from the practical computational and visualization techniques covered.

Introduction
Program Structures
Numerical Calculations Using NumPy
Function Plots and Animations Using Matplotlib
Symbolic Computation Using SymPy
Numerical Computations and Simulations Using SciPy
3D Graphics and Animations Using VPython
Computing with Complex Numbers
Statistical Computations
Boolean Algebra
Interactive Programming Using Tkinter

Table of contents

Authors

Metrics

PDF ISBN: 978-1-80610-604-2

Publisher: Packt Publishing Limited

Publication date: 2025

Language: English

Pages: 515

Related subjects:

Computer sciences,

Computer sciences, other

Python For Engineering and Scientific Computing

Key Features

Book Description

What you will learn

Who this book is for

Table of Contents

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