9780691223650 - a student's guide to python for physical modeling: second edition di kinder, jesse m.; nelson, philip (24 risultati)
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Paperback. Condizione: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the stude…nt, teach yourself enough of the Python programming language to get started with physical modeling. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Paperback. Condizione: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the stude…nt, teach yourself enough of the Python programming language to get started with physical modeling. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.
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Condizione: New. 2021. School. Paperback. . . . . .
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Paperback. Condizione: new. Paperback. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second 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. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condizione: New. 2021. School. Paperback. . . . . . Books ship from the US and Ireland.
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2nd edition. 240 pages. 10.00x8.00x0.75 inches. In Stock.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2nd edition. 240 pages. 10.00x8.00x0.75 inches. In Stock.
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Da: THE SAINT BOOKSTORE, Southport, , Regno UnitoTHE SAINT BOOKSTORE
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Da: Russell Books, Victoria, BC, CanadaRussell Books
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 2nd edition. 240 pages. 10.00x8.00x0.75 inches. In Stock.
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Paperback. Condizione: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the stude…nt, teach yourself enough of the Python programming language to get started with physical modeling. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: new. Paperback. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second 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. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 32,49
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Paperback. Condizione: New. A fully updated tutorial on the basics of the Python programming language for science studentsPython is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the stude…nt, teach yourself enough of the Python programming language to get started with physical modeling. 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 guide introduces a wide range of useful tools, including:Basic Python programming and scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous code samples and exercises-with solutions-illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.
