Published by No Starch Press (edition ), 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Published by No Starch Press,US, San Francisco, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Paperback. Condition: new. Paperback. Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to-Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics. "This book shows how to solve physics problems using Haskell, a functional programming language. Source code, equations, and diagrams throughout demonstrate how physics enthusiasts and functional programmers can use Haskell and its mathematical structures to solve problems from Newtonian mechanics and electromagnetics"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by No Starch Press,US, US, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Paperback. Condition: New. This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics. Haskell's powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations.
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Published by Random House LLC US Feb 2023, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Deepen your understanding of physics by learning to use the Haskell functional programming language.This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics.Haskell s powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations. In addition, you ll explore Newtonian mechanics and electromagnetics, analyze source code, and discover why Haskell s high-order functions and referential transparency serve physics so well. 617 pp. Englisch.
Published by Random House LLC US Feb 2023, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Deepen your understanding of physics by learning to use the Haskell functional programming language.This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics.Haskell s powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations. In addition, you ll explore Newtonian mechanics and electromagnetics, analyze source code, and discover why Haskell s high-order functions and referential transparency serve physics so well. 617 pp. Englisch.
Published by Random House LLC US Feb 2023, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to:
Published by Random House LLC US Feb 2023, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - Deepen your understanding of physics by learning to use the Haskell functional programming language.This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics.Haskell s powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations. In addition, you ll explore Newtonian mechanics and electromagnetics, analyze source code, and discover why Haskell s high-order functions and referential transparency serve physics so well.
Published by No Starch Press,US, San Francisco, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketPaperback. Condition: new. Paperback. Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to-Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics. "This book shows how to solve physics problems using Haskell, a functional programming language. Source code, equations, and diagrams throughout demonstrate how physics enthusiasts and functional programmers can use Haskell and its mathematical structures to solve problems from Newtonian mechanics and electromagnetics"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by No Starch Press,US, US, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketPaperback. Condition: New. This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics. Haskell's powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations.
Published by No Starch Press,US, San Francisco, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketPaperback. Condition: new. Paperback. Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to-Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equationsExpress fundamental physical principles using the logic of Haskell's type system to clarify Newton's second law, Coulomb's law, the Biot-Savart law, and the Maxwell equationsUse higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) methodCreate graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic fieldWhether you're using this book as a core textbook for a computational physics course or for self-study, Learn Physics with Functional Programming will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics. "This book shows how to solve physics problems using Haskell, a functional programming language. Source code, equations, and diagrams throughout demonstrate how physics enthusiasts and functional programmers can use Haskell and its mathematical structures to solve problems from Newtonian mechanics and electromagnetics"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Random House LLC US Feb 2023, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Deepen your understanding of physics by learning to use the Haskell functional programming language.Learn Physics with Functional Programming is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.You'll use Haskell's type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.As you work your way through the book's numerous examples and exercises, you'll learn how to:Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 617 pp. Englisch.
Published by No Starch Press,US, US, 2023
ISBN 10: 1718501668 ISBN 13: 9781718501669
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketPaperback. Condition: New. This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics. Haskell's powerful system of types is capable of encoding important mathematical structures like vectors, derivatives, integrals, scalar fields, and differential equations.