Publicado por Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Publicado por Cambridge University Press, 2024
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Publicado por Cambridge University Press Nov 2023, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
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Añadir al carritoBuch. Condición: Neu. Neuware - 'A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book 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'--.
Publicado por Cambridge University Press, 2024
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Publicado por CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: URW Books Store, CASPER, WY, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Brand New. Brand New! Fast Delivery, Delivery within 7-12 working Day Only, USA Edition Original Edition. Excellent Quality, Printing in English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
Publicado por Cambridge University Press, GB, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 107,85
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Añadir al carritoHardback. Condición: New. 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.
Publicado por Cambridge University Press, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 102,69
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Añadir al carritoHardcover. Condición: Brand New. 458 pages. 10.28x8.19x1.18 inches. In Stock.
Publicado por Cambridge University Press, GB, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 114,85
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Añadir al carritoHardback. Condición: New. 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.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 78,38
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1108842577 ISBN 13: 9781108842570
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 128,30
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Añadir al carritoHardcover. Condición: new. Hardcover. 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. A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.