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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032569247 ISBN 13: 9781032569246
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Paperback. Condition: new. Paperback. Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works.The focus of this book is writing python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the python programming language, or to numpy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.Key features: Provides an accessible and practical guide to the abstractions in quantum mechanics with concrete visual examples driven by simple python programs. Contains few derivations, equations, and proofs. For complete beginners of python programming, appendix B serves as a very brief introduction to the main concepts needed to understand the code in this book. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 1032569247 ISBN 13: 9781032569246
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Paperback. Condition: New. Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works.The focus of this book is writing python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the python programming language, or to numpy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.Key features:· Provides an accessible and practical guide to the abstractions in quantum mechanics with concrete visual examples driven by simple python programs.· Contains few derivations, equations, and proofs.· For complete beginners of python programming, appendix B serves as a very brief introduction to the main concepts needed to understand the code in this book.
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Add to basketPaperback. Condition: new. Paperback. Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works.The focus of this book is writing python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the python programming language, or to numpy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.Key features: Provides an accessible and practical guide to the abstractions in quantum mechanics with concrete visual examples driven by simple python programs. Contains few derivations, equations, and proofs. For complete beginners of python programming, appendix B serves as a very brief introduction to the main concepts needed to understand the code in this book. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032569247 ISBN 13: 9781032569246
Language: English
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Paperback. Condition: new. Paperback. Quantum Mechanics can be an abstract and complex subject. Students often complain of confusion, struggle, and frustration as they try to master the topic. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. It is assumed that the reader is concurrently taking a course in quantum mechanics, or self-studying quantum mechanics, but is looking for supplementary material to help with understanding and visualizing how quantum mechanics works.The focus of this book is writing python programs to visualize the underlying behavior of the mathematical theory. The background needed to understand quantum mechanics is differential equations, linear algebra and modern physics. We need a strong foundation in differential equations and linear algebra because the behavior of quantum systems is governed by equations that are written in terms of these concepts. Modern physics includes concepts such as special relativity and quantum phenomena like the photoelectric effect and energy quantization that the theory of quantum mechanics seeks to explain. This book is also not an introduction to the python programming language, or to numpy, or even to VPython. However its programming examples start simply and grow more complex as the chapters progress, so deep expertise in any of these is not a pre-requisite.Key features: Provides an accessible and practical guide to the abstractions in quantum mechanics with concrete visual examples driven by simple python programs. Contains few derivations, equations, and proofs. For complete beginners of python programming, appendix B serves as a very brief introduction to the main concepts needed to understand the code in this book. The goal of this book is to reduce the complexity and clarify the abstractions with concrete visual examples driven by simple python programs. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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