Introduction to R and Python for data analysis : a side by side approach
Material type:
TextPublication details: Boca Raton : CRC Press, 2023. Description: xix, 246 pagesISBN: 9781032203256Subject(s): Mathematical statistics -- Data processing | R (Computer program language) | Python (Computer program language)DDC classification: 004.43 Online resources: Table of content | Reviews Summary: 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. Instructors can access the solutions manual via the book's website.
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
Book
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NISER LIBRARY | 004.43 BRO-I (Browse shelf(Opens below)) | Available | 25645 |
Browsing NISER LIBRARY shelves Close shelf browser (Hides shelf browser)
| 004.43 BRA-F First course in statistical programming with r (a) | 004.43 BRA-F First course in statistical programming with r (a) | 004.43 BRA-F First course in statistical programming with r (a) | 004.43 BRO-I Introduction to R and Python for data analysis : a side by side approach | 004.43 COE-B Building machine learning systems with python | 004.43 COE-B Building machine learning systems with python | 004.43 GRO-H Hands-on programming with R |
Includes bibliographical references and index.
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. Instructors can access the solutions manual via the book's website.
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