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In den WarenkorbZustand: 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.
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Verlag: Taylor & Francis Ltd Jun 2023, 2023
ISBN 10: 1032203250 ISBN 13: 9781032203256
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware - 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.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New. 2023. 1st Edition. Hardcover. . . . . .
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In den WarenkorbZustand: New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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In den WarenkorbHardcover. Zustand: Brand New. 272 pages. 10.00x7.00x0.67 inches. In Stock.
Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032203250 ISBN 13: 9781032203256
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students.- Does 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.
Verlag: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032203250 ISBN 13: 9781032203256
Sprache: Englisch
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EUR 177,79
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In den WarenkorbHardcover. Zustand: 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" way. - Examples are tailored to aspiring data scientists and statisticians, not software engineers. - Designed for introductory graduate students.- Does 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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In den WarenkorbHRD. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Brand New. 272 pages. 10.00x7.00x0.67 inches. In Stock. This item is printed on demand.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.