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제품번호 #:
53507501
Python Programming and Numerical Methods: A Guide for Engineers and Scientists, (Paperback)
95% of respondents would recommend this to a friend
제품번호 #:
53507501
KRW 142854
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Develop good computational problem-solving techniques through the use of numerical methods and the Python programming language.
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What Stands Out
Comprehensive Coverage
This guide provides extensive insights into Python programming tailored for engineering and scientific applications, ensuring readers grasp both fundamental and advanced concepts effectively.
Numerical Methods Focus
Integrates numerical methods within Python programming, allowing engineers and scientists to solve complex problems using practical examples and industry-relevant applications.
User-Friendly Approach
Designed as an accessible resource with clear explanations and step-by-step instructions, it simplifies learning for beginners while enhancing the skills of experienced practitioners.
제품 세부 정보
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Edition | 1 |
| Skill level | Beginner |
| Pages | 480 |
| Language | English |
| Brand | Qingkai Kong |
| Pub date | 2020-12-01 |
| Author | Qingkai Kong |
| Subgenre | Mechanical |
| Genre | Computing & Internet |
| Bisac subject heading | Technology & Engineering |
| Series title | No Series |
| Dimensions | 7.40 x 1.10 x 9.10 in (18.8 x 2.8 x 23.1 cm) |
| Educational level | General |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
Who Should Buy?
-
Engineering Students
Ideal for students learning engineering concepts and applications of Python in numerical methods and simulations.
-
Scientists and Researchers
Useful for professionals needing efficient programming and numerical analysis in research projects and experimental data.
-
Self-learners
Great for individuals seeking to self-study Python and numerical methods concepts at their own pace.
-
Absolute Beginners
Not suitable for those with no prior programming experience, as it assumes some knowledge of coding.
제품 설명
Python Programming and Numerical Methods: A Guide for Engineers and Scientists, (Paperback)
About This Item
Are you an engineer or scientist looking to enhance your skills in Python programming and numerical methods? Look no further! Introducing the Python Programming and Numerical Methods: A Guide for Engineers and Scientists Paperback. With this comprehensive guidebook, you will gain a solid foundation in Python programming and learn how to apply numerical methods to solve complex engineering and scientific problems. Whether you're a beginner or an advanced user, this book caters to various skill levels, making it accessible to all. The Python Programming and Numerical Methods guide covers a wide range of topics, including: 1. Python Programming: This guide will take you through the fundamentals of Python programming, starting from the basics and gradually progressing to more advanced concepts.
You will learn how to write efficient and readable code, work with data structures, handle exceptions, and much more. 2. Numerical Methods: Dive into the world of numerical methods and explore techniques for solving mathematical problems using Python. From interpolation and regression to optimization and differential equations, this book covers a variety of numerical methods commonly used in engineering and scientific fields. 3.
Real-world Examples: Learn by doing! In each chapter, you'll find practical examples and exercises that reinforce the concepts you've learned. These examples are carefully selected to demonstrate real-world applications of Python programming and numerical methods. 4. Easy-to-follow Format: The guide is written in a clear and concise manner, making it easy for you to follow along and grasp complex topics.
The step-by-step explanations and code snippets ensure that you can apply what you've learned immediately. Whether you're tackling engineering projects, conducting scientific research, or simply seeking to expand your programming skills, the Python Programming and Numerical Methods guide is an invaluable resource. It's time to take your programming and problem-solving abilities to new heights! Don't miss out on this opportunity to enhance your engineering and scientific skills with Python programming and numerical methods. Grab your copy of the Python Programming and Numerical Methods: A Guide for Engineers and Scientists Paperback today!.
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고객 질문 및 답변
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의문:
What is the focus of this book?
답변: The book focuses on teaching programming tools and numerical methods specifically for engineering and science applications. -
의문:
Is this book suitable for beginners?
답변: Yes, it introduces fundamental programming concepts using simple examples that make it accessible for beginners. -
의문:
How is the content structured?
답변: The book is divided into two parts, covering programming concepts and then focusing on algorithms and numerical analysis.
Qingkai Kong Applied Mathematics Books Editorial Review
Python Programming and Numerical Methods: A Guide for Engineers and Scientists is a comprehensive instruction manual tailored for beginners in the field. Authored by Qingkai Kong, this 480-page paperback serves as an excellent resource for anyone looking to delve into the intersection of computing and engineering. As part of the technology and engineering genre, it presents a structured approach to numerical methods, enhancing the reader's analytical skills. Published on December 1, 2020, it is designed for adults and provides foundational knowledge essential for engineers and scientists. Many readers appreciate its clear explanations and practical examples, making it a valuable addition to any technical library.
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장점
- Perfect for beginners in programming and engineering
- Comprehensive guide covering numerical methods
- Clear explanations for complex topics
- Well-structured for self-study
- 480 pages of insightful content
단점
- Only available in paperback format
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KRW 142854
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특징 및 장점
- Comprehensive guide for engineering and science students.
- Learn essential programming concepts through practical examples.
- Explore algorithms and numerical analysis fundamentals.
- Quickly apply results to real-world problems.
- Enhances computational problem-solving skills.
- Ideal for both beginners and those looking to refine skills.
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