Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering)

Name: Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python (Texts in Computational Science and Engineering)
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Learn Programming Through Mathematical Problem-Solving

This practical and accessible book introduces computer programming as a powerful tool for solving mathematical problems, with a focus on applications in engineering and science. Designed specifically for students, it provides a clear and concise path from having no prior programming experience to developing the skills needed to write simple programs for common mathematical and numerical problems.

The book is available in two versions: MATLAB and Python, allowing students to learn using the programming environment that best suits their course or field of study.

Inspired by A Primer on Scientific Programming with Python by Hans Petter Langtangen, the book takes a more streamlined and approachable approach, making it particularly suitable for engineering students.

Key topics include:

Programming fundamentals for beginners
Numerical methods for solving mathematical problems
Generic algorithms that can be applied across different problems
Clean and structured program design
Functions for creating reusable and organized code
Automatic testing to verify program correctness
Practical applications in engineering and science

By focusing on essential programming concepts and real mathematical applications, this book helps students quickly develop practical computational skills they can use throughout their engineering and science studies.

Product details

Publisher ‏ : ‎ Springer
Publication date ‏ : ‎ May 31, 2018
Edition ‏ : ‎ Reprint
Language ‏ : ‎ English
Print length ‏ : ‎ 248 pages
ISBN-10 ‏ : ‎ 3319812823
ISBN-13 ‏ : ‎ 978-3319812823
Item Weight ‏ : ‎ 15.2 ounces
Dimensions ‏ : ‎ 7.01 x 0.56 x 10 inches

This book provides a practical way to learn Python by applying programming concepts to numerical and scientific problems. Instead of focusing only on programming syntax, it demonstrates how Python can be used to explore equations, simulations, and computational models. The gradual approach makes the material accessible to beginners while still being relevant to technical and scientific applications. It is a useful starting point for students who want to combine programming with mathematics and numerical methods.

Programming for Computations – Python is a clear and approachable introduction to programming and numerical simulations using Python. The book connects fundamental programming concepts with practical mathematical and computational problems, making it particularly useful for students in science and engineering. Its gentle progression helps readers build confidence while learning how to translate mathematical models into working Python programs. Overall, it is a valuable resource for beginners who want to develop both programming skills and computational problem-solving abilities.

Programming for Computations – Python is a beginner-friendly guide to learning Python through numerical computation and simulations. The examples make programming concepts easier to understand while showing how code can be applied to real mathematical problems. Its practical approach is especially helpful for students in science, mathematics, and engineering. A worthwhile introduction to both Python programming and computational thinking.