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An Introduction to R and Python for Data Analysis - A Side-By-Side Approach (Hardcover) Loot Price: R2,387
Discovery Miles 23 870
An Introduction to R and Python for Data Analysis - A Side-By-Side Approach (Hardcover): Taylor R. Brown

An Introduction to R and Python for Data Analysis - A Side-By-Side Approach (Hardcover)

Taylor R. Brown

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Loot Price R2,387 Discovery Miles 23 870 | Repayment Terms: R224 pm x 12*

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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: https://github.com/tbrown122387/r_and_python_book/tree/master/data. 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.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Release date: May 2023
First published: 2023
Authors: Taylor R. Brown
Dimensions: 254 x 178mm (L x W)
Format: Hardcover
Pages: 249
ISBN-13: 978-1-03-220325-6
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer programming > Software engineering
Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Databases > General
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LSN: 1-03-220325-0
Barcode: 9781032203256

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