Computational Physics

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CreateSpace Independent Publishing Platform #ad - Computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. Used book in Good Condition. A complete introduction to the field of computational physics, with examples and exercises in the Python programming language.

Computational Physics #ad - This book explains the fundamentals of computational physics and describes in simple terms 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 who wants to learn the foundational elements of this important field.

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A Student's Guide to Python for Physical Modeling: Updated Edition

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Princeton University Press #ad - A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that is rapidly gaining popularity throughout the sciences. Web-based resources also accompany this guide and include code samples, data sets, and more. This fully updated edition of a student's guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling.

A Student's Guide to Python for Physical Modeling: Updated Edition #ad - This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingAnimationNumerous code samples and exercises--with solutions―illustrate new ideas as they are introduced.

In addition, a new appendix introduces Jupyter notebooks. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation.

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Numerical Methods for Physics Python

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CreateSpace Independent Publishing Platform #ad - Numerical Methods for Physics Python #ad - This version of the text uses python with Matlab, C++, and FORTRAN versions of the programs also available on-line. This book covers a broad spectrum of the most important, linear algebra, basic numerical and analytical techniques used in physics —including ordinary and partial differential equations, integration, Fourier transforms, and probability.

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Introduction to Electrodynamics

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Cambridge University Press #ad - This well-known undergraduate electrodynamics textbook is now available in a more affordable printing from Cambridge University Press. The fourth edition provides a rigorous, plasmas, transmission lines, yet clear and accessible treatment of the fundamentals of electromagnetic theory and offers a sound platform for explorations of related applications AC circuits, antennas, optics and more.

Written keeping in mind the conceptual hurdles typically faced by undergraduate students, this textbook illustrates the theoretical steps with well-chosen examples and careful illustrations. A solutions manual is available to instructors teaching from the book; access can be requested from the resources section at www.

Introduction to Electrodynamics #ad - Cambridge. Org/electrodynamics. It balances text and equations, and includes numerous problems, varying from straightforward to elaborate, allowing the physics to shine through without compromising the rigour of the math, so that students can be assigned some problems to build their confidence and others to stretch their minds.

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Measurements and their Uncertainties: A practical guide to modern error analysis

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Oxford University Press #ad - Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. Routines implemented by most contemporary data analysis packages are analysed and explained. Oxford university Press USA. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.

Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations.

Measurements and their Uncertainties: A practical guide to modern error analysis #ad - The emphasis throughout is on practical strategies to be adopted in the laboratory. The general approach uses the chi-square statistic extensively. It assumes no prior knowledge of statistics. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference.

. Error analysis is introduced at a level accessible to school leavers, and carried through to research level.

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Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

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Packt Publishing #ad - The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library. Sebastian raschka and vahid mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples.

Understand and work at the cutting edge of machine learning, and deep learning with this second edition of Sebastian Raschka's bestselling book, neural networks, Python Machine Learning. Every chapter has been critically updated, and there are new chapters on key technologies. Key featuressecond edition of the bestselling book on machine learninga practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize your machine learning systems and algorithmsBook DescriptionMachine learning is eating the software world, and now deep learning is extending machine learning.

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition #ad - Thoroughly updated using the latest python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library.

By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world. If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. You'll be able to learn and work with tensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.

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Introduction to Quantum Mechanics

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Cambridge University Press #ad - Introduction to Quantum Mechanics #ad - Oxford university Press USA. Changes and additions to the new edition of this classic textbook include a new chapter on symmetries, more numerical problems to be worked on a computer, improved explanations, new problems and examples, new applications to solid state physics, and consolidated treatment of time-dependent potentials.

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Conquering the Physics GRE

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Cambridge University Press #ad - Recognized as one of the best student resources available, this tailored guide has been thoroughly updated for the current Physics GRE. Oxford university Press USA. It features three full-length practice exams, revised to accurately reflect the difficulty of the current test, review their preparedness, with fully worked solutions so that students can simulate taking the test, and identify areas in which further study is needed.

Programs, yet few exam-prep books focus on the test's actual content and unique structure. Written by working physicists who took the Physics GRE for their own graduate admissions to the Massachusetts Institute of Technology, this self-contained reference guide will help students achieve their best score.

Conquering the Physics GRE #ad - The physics gre plays a significant role in deciding admissions to nearly all US physics Ph. D. The physics gre plays a significant role in deciding admissions to nearly all US physics Ph. D. Programs, yet few exam-prep books focus on the test's actual content and unique structure. Recognized as one of the best student resources available, this tailored guide has been thoroughly updated for the current Physics GRE.

It contains carefully selected review material matched to all of the topics covered, as well as tips and tricks to help solve problems under time pressure.

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An Introduction to Thermal Physics

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Pearson #ad - Part i introduces concepts of thermodynamics and statistical mechanics from a unified view. Recognized as one of the best student resources available, this tailored guide has been thoroughly updated for the current Physics GRE. Programs, yet few exam-prep books focus on the test's actual content and unique structure.

An Introduction to Thermal Physics #ad - Parts ii and iii explore further applications of classical thermodynamics and statistical mechanics. Oxford university Press USA. The physics gre plays a significant role in deciding admissions to nearly all US physics Ph. D. Throughout, the emphasis is on real-world applications. This text looks at thermodynamics and statistical mechanics.

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Vibrations and Waves The M.I.T. Introductory Physics Series

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CBS Publishers & Distributors Pvt Ltd, India #ad - Oxford university Press USA. This introduction to the study of vibrations and waves is very much focused on mechanical systems. So, a good working knowledge of elementary kinematics and dynamics is advised. The decision to limit the scope of the book in this way was guided by the fact that the presentation is quantitative and analytical rather than descriptive.

Programs, yet few exam-prep books focus on the test's actual content and unique structure. Recognized as one of the best student resources available, this tailored guide has been thoroughly updated for the current Physics GRE. The physics gre plays a significant role in deciding admissions to nearly all US physics Ph.

Vibrations and Waves The M.I.T. Introductory Physics Series #ad - D. The temptation to incorporate discussions of electrical and optical systems was always strong, but it was felt that a great part of the language of the subject could be developed most simply and straightforwardly in terms of mechanical displacements and scalar wave equations, with only an occasional allusion to other systems.

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A Student's Guide to Python for Physical Modeling

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Princeton University Press #ad - The physics gre plays a significant role in deciding admissions to nearly all US physics Ph. D. Web-based resources also accompany this guide and include code samples, data sets, and more. Recognized as one of the best student resources available, this tailored guide has been thoroughly updated for the current Physics GRE.

University Press Group Ltd. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This tutorial focuses on fundamentals and introduces a wide range of useful techniques, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingAnimationNumerous code samples and exercises―with solutions―illustrate new ideas as they are introduced.

A Student's Guide to Python for Physical Modeling #ad - Programs, yet few exam-prep books focus on the test's actual content and unique structure. Python is a computer programming language that is rapidly gaining popularity throughout the sciences. Oxford university Press USA. A student's guide to python for physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling.

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