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Langue: anglais
Edité par Taylor & Francis Ltd, London, 2023
ISBN 10 : 1032203250 ISBN 13 : 9781032203256
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Ajouter au panierHardcover. Etat : new. Hardcover. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: _and_python_book/tree/master/data. Instructors can access the solutions manual via the book's website.Key features:Teaches R and Python in a "side-by-side" wayExamples are tailored to aspiring data scientists and statisticians, not software engineersDesigned for introductory graduate studentsDoes not assume any mathematical background An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more and save time. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Langue: anglais
Edité par Chapman and Hall/CRC 2023-06-28, 2023
ISBN 10 : 1032203250 ISBN 13 : 9781032203256
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Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
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Edition originale
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Ajouter au panierEtat : New. 2023. 1st Edition. Hardcover. . . . . .
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Ajouter au panierEtat : New. Taylor R. Brown is an assistant professor of statistics at the University of Virginia. His research interests include state space models, particle filtering, and Markov chain Monte Carlo algorithms. He obtained his Ph.D. in statistics fr.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 272 pages. 10.00x7.00x0.67 inches. In Stock.
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Ajouter au panierBuch. Etat : Neu. An Introduction to R and Python for Data Analysis | A Side-By-Side Approach | Taylor R. Brown | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781032203256 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Langue: anglais
Edité par Taylor & Francis Ltd, London, 2023
ISBN 10 : 1032203250 ISBN 13 : 9781032203256
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 188,74
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Ajouter au panierHardcover. Etat : new. Hardcover. An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: _and_python_book/tree/master/data. Instructors can access the solutions manual via the book's website.Key features:Teaches R and Python in a "side-by-side" wayExamples are tailored to aspiring data scientists and statisticians, not software engineersDesigned for introductory graduate studentsDoes not assume any mathematical background An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more and save time. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Ajouter au panierHardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Ajouter au panierHardcover. Etat : Brand New. 272 pages. 10.00x7.00x0.67 inches. In Stock. This item is printed on demand.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more and save time.