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Visualizing Quantum Mechanics With Python
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Book Synopsis Visualizing Quantum Mechanics with Python by : Steve Spicklemire
Download or read book Visualizing Quantum Mechanics with Python written by Steve Spicklemire and published by CRC Press. This book was released on 2024-06-05 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Dr. Stephen Spicklemire is Associate Professor of Physics at the University of Indianapolis, USA. He has been teaching physics at the University of Indianapolis for more than 30 years. From the implementation of "flipped" physics class to the modernization of scientific computing and laboratory instrumentation courses, he has brought the strengths of his background in physics, engineering and computer science into the classroom. Dr. Spicklemire also does IT and engineering consulting. He is an active participant in several national research initiatives relating to improving physics education. These range from improving materials to help students prepare for class, to supporting students success through standards based grading. He is an active developer of the VPython and WebVPython projects and a contributor to the Matter and Interactions textbook.
Book Synopsis Visualizing Quantum Mechanics with Python by : Steve Spicklemire
Download or read book Visualizing Quantum Mechanics with Python written by Steve Spicklemire and published by CRC Press. This book was released on 2024-06-05 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Dr. Stephen Spicklemire is Associate Professor of Physics at the University of Indianapolis, USA. He has been teaching physics at the University of Indianapolis for more than 30 years. From the implementation of "flipped" physics class to the modernization of scientific computing and laboratory instrumentation courses, he has brought the strengths of his background in physics, engineering and computer science into the classroom. Dr. Spicklemire also does IT and engineering consulting. He is an active participant in several national research initiatives relating to improving physics education. These range from improving materials to help students prepare for class, to supporting students success through standards based grading. He is an active developer of the VPython and WebVPython projects and a contributor to the Matter and Interactions textbook.
Book Synopsis Computational Modeling and Visualization of Physical Systems with Python by : Jay Wang
Download or read book Computational Modeling and Visualization of Physical Systems with Python written by Jay Wang and published by John Wiley & Sons. This book was released on 2015-12-21 with total page 986 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.
Book Synopsis Introduction To Time-dependent Quantum Mechanics With Python by : Atanu Bhattacharya
Download or read book Introduction To Time-dependent Quantum Mechanics With Python written by Atanu Bhattacharya and published by World Scientific. This book was released on 2023-10-18 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational spectroscopy and computational quantum chemical dynamics is a vast field in physical chemistry. Significant part of this field is developed based on the concepts of time-dependent quantum mechanics and its numerical implementations.This book gives an introduction to the Time-Dependent Quantum Chemistry for use with any introductory college/university course in optics, spectroscopy, kinetics, dynamics, or experimental physical chemistry or chemical physics of the kind usually taken by undergraduate and graduate students in physical chemistry. In this book, different concepts of time-dependent quantum mechanics are systematically presented by first giving emphasis on the contrasting viewpoint of classical and quantum mechanical motion of a particle, then by demonstrating the ways to find classical flavour in quantum dynamics, thereafter by formally defining the wavepacket which represents a quantum particle and finally by demonstrating numerical methods to explore the wavepacket dynamics in one dimension. Along with the analytical theory, accompanying Python chapters in this book take readers to a hands-on tour with Python programming by first giving them a quick introduction to the Python programming, then by introducing the position-space grid representation of the wavefunction, thereafter, by making them familiarized with the Fourier transform to represent the discretized wavefunction in momentum space, subsequently by showing the Python-based methodologies to express Hamiltonian operator in matrix form and finally by demonstrating the entire Python program which solves the wavepacket dynamics in one dimension under influence of time-independent Hamiltonian following split-operator approach.Rigorous class-testing of the presented lecture notes at the Indian Institute of Science, GITAM University and at NPTEL platform reveals that physical chemistry students, after thoroughly going through all chapters, not only develop an in-depth understanding of the wavepacket dynamics and its numerical implementations, but also start successfully writing their own Python code for solving any one dimensional wavepacket dynamics problem.
Author :Mark E. J. Newman Publisher :Createspace Independent Publishing Platform ISBN 13 :9781480145511 Total Pages :0 pages Book Rating :4.1/5 (455 download)
Book Synopsis Computational Physics by : Mark E. J. Newman
Download or read book Computational Physics written by Mark E. J. Newman and published by Createspace Independent Publishing Platform. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with examples ranging from simple mechanics problems to complex calculations in quantum mechanics, electromagnetism, statistical mechanics, and more.
Book Synopsis Introduction to Computation in Physical Sciences by : Jay Wang
Download or read book Introduction to Computation in Physical Sciences written by Jay Wang and published by Springer Nature. This book was released on 2023-01-25 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds. The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language. Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study. The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing.
Book Synopsis Computational Modeling and Visualization of Physical Systems with Python by : Jianyi Jay Wang
Download or read book Computational Modeling and Visualization of Physical Systems with Python written by Jianyi Jay Wang and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Data Visualization with Python and JavaScript by : Kyran Dale
Download or read book Data Visualization with Python and JavaScript written by Kyran Dale and published by "O'Reilly Media, Inc.". This book was released on 2022-12-07 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations? In this practical book, author Kyran Dale shows data scientists and analysts--as well as Python and JavaScript developers--how to create the ideal toolchain for the job. By providing engaging examples and stressing hard-earned best practices, this guide teaches you how to leverage the power of best-of-breed Python and JavaScript libraries. Python provides accessible, powerful, and mature libraries for scraping, cleaning, and processing data. And while JavaScript is the best language when it comes to programming web visualizations, its data processing abilities can't compare with Python's. Together, these two languages are a perfect complement for creating a modern web-visualization toolchain. This book gets you started. You'll learn how to: Obtain data you need programmatically, using scraping tools or web APIs: Requests, Scrapy, Beautiful Soup Clean and process data using Python's heavyweight data processing libraries within the NumPy ecosystem: Jupyter notebooks with pandas+Matplotlib+Seaborn Deliver the data to a browser with static files or by using Flask, the lightweight Python server, and a RESTful API Pick up enough web development skills (HTML, CSS, JS) to get your visualized data on the web Use the data you've mined and refined to create web charts and visualizations with Plotly, D3, Leaflet, and other libraries
Book Synopsis Statistics and Data Visualization in Climate Science with R and Python by : Samuel S. P. Shen
Download or read book Statistics and Data Visualization in Climate Science with R and Python written by Samuel S. P. Shen and published by Cambridge University Press. This book was released on 2023-11-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.
Book Synopsis Python 3 Data Visualization Using Chatgpt / Gpt-4 by : Oswald Campesato
Download or read book Python 3 Data Visualization Using Chatgpt / Gpt-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures
Book Synopsis Visual Quantum Mechanics by : Bernd Thaller
Download or read book Visual Quantum Mechanics written by Bernd Thaller and published by Springer Science & Business Media. This book was released on 2000-06-22 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Visual Quantum Mechanics" uses the computer-generated animations found on the accompanying material on Springer Extras to introduce, motivate, and illustrate the concepts explained in the book. While there are other books on the market that use Mathematica or Maple to teach quantum mechanics, this book differs in that the text describes the mathematical and physical ideas of quantum mechanics in the conventional manner. There is no special emphasis on computational physics or requirement that the reader know a symbolic computation package. Despite the presentation of rather advanced topics, the book requires only calculus, making complicated results more comprehensible via visualization. The material on Springer Extras provides easy access to more than 300 digital movies, animated illustrations, and interactive pictures. This book along with its extra online materials forms a complete introductory course on spinless particles in one and two dimensions.
Book Synopsis QUANTUM PHYSICS WITH PYTHON by : Jason Test
Download or read book QUANTUM PHYSICS WITH PYTHON written by Jason Test and published by . This book was released on 2021-05-29 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ 55% OFF for Bookstores! LAST DAYS! ★ "Your Client Will Appreciate This fabulous guide with unique contents" "Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning" Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? Finally on launch the most complete Python+Quantum Physics guide with 3 Manuscripts in 1 book! This is a challenging tool to find real help with many unique contents that indirectly will answer to your doubts: 1-Python for Data Science 2-Python Crash Course 3-Quantum Physics for Beginners QUANTUM PHYSICS WITH PYTHON will introduce you many selected practices for coding. You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) PYTHON CRASH COURSE ✓3 reasons why Python is fundamental for Data Science ✓How to use Python Data Analysis in your business ✓ How to set up the Python environment for Data Science ✓Most important Machine Learning Algorithms 2) PYTHON FOR DATA SCIENCE ✓ A Proven Method to Write your First Program in 7 Days ✓The One Thing You Need to Debug your Codes in Python ✓5 Practical exercises to start programming 3) QUANTUM PHYSICS FOR BEGINNERS ✓The law and principles of quantum physics and the law of attraction; ✓The power of quantum ✓Differences between Quantum cryptography and Quantum computers Examples and step-by-step guides will guide you during the code-writing learning process.
Book Synopsis Learn Quantum Computing with Python and IBM Quantum Experience by : Robert Loredo
Download or read book Learn Quantum Computing with Python and IBM Quantum Experience written by Robert Loredo and published by Packt Publishing Ltd. This book was released on 2020-09-28 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: A step-by-step guide to learning the implementation and associated methodologies in quantum computing with the help of the IBM Quantum Experience, Qiskit, and Python that will have you up and running and productive in no time Key FeaturesDetermine the difference between classical computers and quantum computersUnderstand the quantum computational principles such as superposition and entanglement and how they are leveraged on IBM Quantum Experience systemsRun your own quantum experiments and applications by integrating with QiskitBook Description IBM Quantum Experience is a platform that enables developers to learn the basics of quantum computing by allowing them to run experiments on a quantum computing simulator and a real quantum computer. This book will explain the basic principles of quantum mechanics, the principles involved in quantum computing, and the implementation of quantum algorithms and experiments on IBM's quantum processors. You will start working with simple programs that illustrate quantum computing principles and slowly work your way up to more complex programs and algorithms that leverage quantum computing. As you build on your knowledge, you'll understand the functionality of IBM Quantum Experience and the various resources it offers. Furthermore, you'll not only learn the differences between the various quantum computers but also the various simulators available. Later, you'll explore the basics of quantum computing, quantum volume, and a few basic algorithms, all while optimally using the resources available on IBM Quantum Experience. By the end of this book, you'll learn how to build quantum programs on your own and have gained practical quantum computing skills that you can apply to your business. What you will learnExplore quantum computational principles such as superposition and quantum entanglementBecome familiar with the contents and layout of the IBM Quantum ExperienceUnderstand quantum gates and how they operate on qubitsDiscover the quantum information science kit and its elements such as Terra and AerGet to grips with quantum algorithms such as Bell State, Deutsch-Jozsa, Grover's algorithm, and Shor's algorithmHow to create and visualize a quantum circuitWho this book is for This book is for Python developers who are looking to learn quantum computing and put their knowledge to use in practical situations with the help of IBM Quantum Experience. Some background in computer science and high-school-level physics and math is required.
Book Synopsis Computational Physics by : Rubin H. Landau
Download or read book Computational Physics written by Rubin H. Landau and published by John Wiley & Sons. This book was released on 2024-03-20 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Physics The classic in the field for more than 25 years, now with increased emphasis on data science and new chapters on quantum computing, machine learning (AI), and general relativity Computational physics combines physics, applied mathematics, and computer science in a cutting-edge multidisciplinary approach to solving realistic physical problems. It has become integral to modern physics research because of its capacity to bridge the gap between mathematical theory and real-world system behavior. Computational Physics provides the reader with the essential knowledge to understand computational tools and mathematical methods well enough to be successful. Its philosophy is rooted in “learning by doing”, assisted by many sample programs in the popular Python programming language. The first third of the book lays the fundamentals of scientific computing, including programming basics, stable algorithms for differentiation and integration, and matrix computing. The latter two-thirds of the textbook cover more advanced topics such linear and nonlinear differential equations, chaos and fractals, Fourier analysis, nonlinear dynamics, and finite difference and finite elements methods. A particular focus in on the applications of these methods for solving realistic physical problems. Readers of the fourth edition of Computational Physics will also find: An exceptionally broad range of topics, from simple matrix manipulations to intricate computations in nonlinear dynamics A whole suite of supplementary material: Python programs, Jupyter notebooks and videos Computational Physics is ideal for students in physics, engineering, materials science, and any subjects drawing on applied physics.
Book Synopsis An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing by : M.S. Ramkarthik
Download or read book An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing written by M.S. Ramkarthik and published by CRC Press. This book was released on 2022-09-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first-of-a-kind textbook provides computational tools in state-of-the-art OOPs Python that are fundamental to quantum information, quantum computing, linear algebra and one-dimensional spin half condensed matter systems. Over 104 subroutines are included, and the codes are aided by mathematical comments to enhance clarity. Suitable for beginner and advanced readers alike, students and researchers will find this textbook to be a helpful guide and a compendium which they can readily use. Features Includes over 104 codes in OOPs Python, all of which can be used either as a standalone program or integrated with any other main program without any issues. Every parameter in the input, output and execution has been provided while keeping both beginner and advanced users in mind. The output of every program is explained thoroughly with detailed examples. Detailed mathematical commenting is done alongside the code which enhances clarity about the flow and working of the code.
Book Synopsis Quantum Computing with Python by : Jason Test
Download or read book Quantum Computing with Python written by Jason Test and published by Independently Published. This book was released on 2021-03-17 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: *KINDLE VERSION Discounted at $ 9.99 instead of $ 14.99... Get QUANTUM PHYSICS section for FREE!! "Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning" Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? Finally on launch the most complete Python+Quantum Physics guide with 4 Manuscripts in 1 book! This is a challenging tool to find real help with many unique contents that indirectly will answer to your doubts: 1-Python for beginners 2-Python for Data Science 3-Python Crash Course and special and FREE section: 4-Quantum Physics for beginners QUANTUM COMPUTING WITH PYTHON will introduce you many selected practices for coding. You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Easy-to-follow steps for reading and writing codes. ✓ 3 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ✓3 reasons why Python is fundamental for Data Science ✓How to use Python Data Analysis in your business ✓ How to set up the Python environment for Data Science ✓Most important Machine Learning Algorithms 3) Python Crash Course ✓ A Proven Method to Write your First Program in 7 Days ✓The One Thing You Need to Debug your Codes in Python ✓5 Practical exercises to start programming 4) Quantum Physics for beginners ✓The law and principles of quantum physics and the law of attraction; ✓The power of quantum ✓Differences between Quantum cryptography and Quantum computers Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. You will also learn all the 3 best tricks of writing codes with point by point descriptions of the code elements. Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. If you really wish to to learn Python and master its language, please click the BUY NOW button.
Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant
Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
