Introduction to Engineering and Scientific Computing with Python
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 25 December 2025
- ISBN 9781032188973
- Binding Paperback
- No. of pages420 pages
- Size 229x152 mm
- Weight 780 g
- Language English
- Illustrations 265 Illustrations, black & white; 56 Halftones, black & white; 209 Line drawings, black & white; 55 Tables, black & white 698
Categories
Short description:
This book is an essential guide to Python, which will be relevant to all engineers, particularly undergraduate students in their first year. It will also be of interest to professionals and graduate students looking to hone their programming skills, and to situate Python in an engineering and scientific context.
MoreLong description:
As more and more engineering departments and companies choose to use Python, this book provides an essential introduction to this open-source, free-to-use language. Expressly designed to support first-year engineering students, this book covers engineering and scientific calculations, Python basics, and structured programming.
Based on extensive teaching experience, the text uses practical problem solving as a vehicle to teach Python as a programming language. By learning computing fundamentals in an engaging and hands-on manner, it enables the reader to apply engineering and scientific methods with Python, focusing this general language to the needs of engineers and the problems they are required to solve on a daily basis. Rather than inundating students with complex terminology, this book is designed with a leveling approach in mind, enabling students at all levels to gain experience and understanding of Python. It covers such topics as structured programming, graphics, matrix operations, algebraic equations, differential equations, and applied statistics. A comprehensive chapter on working with data brings this book to a close.
This book is an essential guide to Python, which will be relevant to all engineers, particularly undergraduate students in their first year. It will also be of interest to professionals and graduate students looking to hone their programming skills, and apply Python to engineering and scientific contexts.
MoreTable of Contents:
Chapter 1 Engineering and Scientific Calculations
Chapter 2 Computer-Based Calculations
Chapter 3 Python Basics
Chapter 4 Structured Programming with Python
Chapter 5 Graphics—Matplotlib
Chapter 6 Array and Matrix Operations
Chapter 7 Solving Single Algebraic Equations
Chapter 8 Solving Sets of Algebraic Equations
Chapter 9 Solving Differential Equations
Chapter 10 Working with Data
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