Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, US, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Aggiungi al carrelloPaperback. 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 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.
Lingua: Inglese
Editore: Princeton University Press, US, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Aggiungi al carrelloPaperback. 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 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.
Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
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ISBN 10: 0691223653 ISBN 13: 9780691223650
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ISBN 10: 0691223653 ISBN 13: 9780691223650
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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.
Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
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ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Lingua: Inglese
Editore: Princeton University Press, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 240 pages. 10.00x8.00x0.75 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, US, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Aggiungi al carrelloPaperback. 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 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.
Lingua: Inglese
Editore: Princeton University Press, New Jersey, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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Aggiungi al carrelloPaperback. 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.
Lingua: Inglese
Editore: Princeton University Press, US, 2021
ISBN 10: 0691223653 ISBN 13: 9780691223650
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EUR 32,50
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Aggiungi al carrelloPaperback. 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 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.