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Python and R for the Modern Data Scientist - The Best of Both Worlds (Paperback) Loot Price: R836
Discovery Miles 8 360
You Save: R119 (12%)
Python and R for the Modern Data Scientist - The Best of Both Worlds (Paperback): Rick Scavetta

Python and R for the Modern Data Scientist - The Best of Both Worlds (Paperback)

Rick Scavetta

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Was R955 Loot Price R836 Discovery Miles 8 360 | Repayment Terms: R76 pm x 12* You Save R119 (12%)

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Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set. Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist. Learn Python and R from the perspective of your current language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a real-world case study that demonstrates ways to use these languages together


Imprint: O'reilly Media, Inc, Usa
Country of origin: United States
Release date: July 2021
Authors: Rick Scavetta
Dimensions: 232 x 178 x 17mm (L x W x T)
Format: Paperback
Pages: 175
ISBN-13: 978-1-4920-9340-4
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Internet > Internet languages > General
LSN: 1-4920-9340-8
Barcode: 9781492093404

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