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- Numerical Methods in Physics with Python
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منتج #:
87866601
Numerical Methods in Physics with Python
87% من المشترين سيوصون بهذا المنتج لصديق
منتج #:
87866601
ILS 289
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This is an ideal standalone textbook for courses on computational physics.
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Comprehensive Coverage
This edition offers an in-depth exploration of numerical methods specifically tailored for physics applications, ensuring that users grasp complex concepts effectively.
Python Integration
Seamless integration of Python throughout the text allows readers to apply numerical methods practically, enhancing both learning and software skills relevant in modern scientific computing.
Updated Examples
The second edition features revised examples and exercises that reflect current trends in physics, providing students with relevant, hands-on experience to solve real-world problems.
تفاصيل المنتج
- Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
| Publisher | Cambridge University Press |
| Publication date | July 20, 2023 |
| Edition | 2nd |
| Language | English |
| Print length | 706 pages |
| ISBN-10 | 1009303864 |
| ISBN-13 | 978-1009303866 |
| Item Weight | 2.9 pounds (1.32 kg) |
| Dimensions | 7 x 1.59 x 10 inches (17.8 x 4 x 25.4 cm) |
من يجب أن يشتري؟
-
Physics Students
Ideal for undergraduate physics students seeking to understand numerical methods and computational tools in their studies.
-
Python Programmers
Beneficial for programmers wanting to apply Python in solving complex physics problems through numerical methods.
-
Researchers
Useful for researchers in physics who require numerical techniques for simulations and modeling in their projects.
-
Complete Beginners
Not suitable for those without prior knowledge of Python or numerical methods, as it requires foundational understanding.
وصف المنتج
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أسئلة العملاء & الإجابات
-
سؤال:
What is the focus of the Numerical Methods in Physics with Python 2nd Edition?
إجابه: The focus of this edition is on applying numerical methods to solve physics problems using Python. It caters to both beginners and experienced programmers by providing practical examples and applications of numerical techniques, such as solving differential equations, performing integration, and simulating physical situations. This makes it an excellent resource for students and professionals who want to enhance their computational skills in physics. -
سؤال:
Who is the target audience for this book?
إجابه: The target audience includes undergraduate and graduate students in physics, engineering, and computational science programs, as well as professionals working in research who need to apply numerical methods in their work. Additionally, educators looking for a comprehensive guide to teaching computational physics will find it valuable. -
سؤال:
What programming languages are used in this book?
إجابه: This book predominantly uses Python for implementing numerical methods, making it accessible and relevant given Python's popularity in scientific computing. The code examples provided are well-commented, allowing readers to understand the implementation of methods without needing deep programming expertise. -
سؤال:
Can beginners understand the content in this book?
إجابه: Yes, beginners can understand the content as the book starts with foundational concepts before progressing to more complex topics. Each chapter includes clear explanations and step-by-step examples, allowing readers to build their understanding gradually and gain confidence in using numerical methods for solving physics problems. -
سؤال:
What kind of problems does the book address?
إجابه: The book addresses a variety of problems in physics, including classical mechanics, electromagnetism, quantum mechanics, and statistical mechanics. It provides a practical approach to solving these problems through numerical methods, making theoretical concepts more tangible and applicable. -
سؤال:
Does the book include resources for further learning?
إجابه: Yes, it includes a host of resources for further learning, such as references to other books, online tutorials, and access to Python libraries that are essential for numerical computing. These resources enhance the learning experience by providing pathways for deeper exploration into numerical methods and their applications. -
سؤال:
Is there an accompanying code repository for this book?
إجابه: Yes, there is an accompanying code repository that provides access to all the code examples used in the book. This can be particularly helpful for readers who want to run the code and experiment with the examples directly, allowing for a hands-on learning experience. -
سؤال:
How does the second edition differ from the first edition?
إجابه: The second edition is updated with new content, additional examples, and enhanced explanations that reflect the latest advancements in numerical methods and Python programming. Readers can expect improved clarity, more practical applications, and additional exercises that facilitate a deeper understanding of the material. -
سؤال:
Are there practical exercises included in the book?
إجابه: Yes, the book includes practical exercises at the end of each chapter that challenge readers to apply what they've learned. These exercises range from straightforward programming tasks to complex problem-solving scenarios, enhancing the practical skills necessary for tackling real-world physics problems. -
سؤال:
Where can I buy Numerical Methods in Physics with Python 2nd Edition?
إجابه: You can buy Numerical Methods in Physics with Python 2nd Edition from Ubuy available in Palestine. Ubuy is a trusted online platform that stocks a variety of educational books with convenient browsing and purchasing options, ensuring an accessible buying experience for readers.
Python Editorial Review
**Editorial Review** The product in question is a numerical methods book tailored specifically for applications in physics, a niche yet vital area of study for students and professionals alike. Customer reception is mixed, showcasing a divide between those who praise its practical approach and educational value, and others who express disappointment over its content and execution. On one hand, many reviewers commend the book's unique emphasis on integrating numerical methods with physical problems, touting its wealth of worked examples and projects that are particularly relevant to fields such as particle physics. This practical focus, combined with the inclusion of Python code, is seen as a Considerable advantage, especially in the context of modern scientific computing. Readers appreciate that the book provides resources that can help students bridge the gap between theory and application, emphasizing the value of having practical skills in a widely used programming language. Conversely, criticism arises primarily from readers who feel the book falls short in delivering new insights or substantial content. A dissatisfied reviewer claims the information presented is readily available through online searches, and the examples do not offer significant challenges. Others have expressed frustration over the organization and presentation, particularly highlighting awkward formatting that makes reading cumbersome. A notable point of contention is that some readers expected deeper exploration of topics rather than what they perceive as elementary problems. Overall, while the book is appreciated for its practical approach and educational contributions, it faces scrutiny regarding its depth and layout. The diverse opinions suggest that potential buyers should carefully Consider their individual needs and expectations before deciding to purchase. **
مراجعات العملاء وتقييماتهم
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4 نجمة
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3 نجمة
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1 نجمة
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إيجابيات
- Unique focus on practical applications of numerical methods in physics.
- Abundant worked examples and long projects that are relevant to real-world scenarios.
- Inclusion of Python code, which is beneficial for students of modern scientific computing.
سلبيات
- Some readers feel the content lacks originality and can be found elsewhere online.
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المميزات والفوائد
- Combines idiomatic Python programming with foundational numerical methods.
- Covers a comprehensive range of numerical methods used in physics.
- Includes 140 new problems and several new codes for enhanced learning.
- Features new sections on advanced topics like neural networks and Bayesian regression.
- Each chapter concludes with an in-depth project addressing complex physics problems.
- Perfect for students new to computational physics, facilitating quick mastery of Python.
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