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Python and R for the Modern Data Scientist - 9781492093404

Description: Python and R for the Modern Data ScientistThe Best of Both Worlds Author(s): Rick Scavetta Format: Paperback Publisher: O'Reilly Media, United States Imprint: O'Reilly Media ISBN-13: 9781492093404, 978-1492093404 Synopsis 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

Price: 34.86 GBP

Location: Aldershot

End Time: 2024-11-30T20:50:20.000Z

Shipping Cost: 29.09 GBP

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Python and R for the Modern Data Scientist - 9781492093404

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Book Title: Python and R for the Modern Data Scientist

Item Height: 232 mm

Item Width: 178 mm

Author: Rick Scavetta

Publication Name: Python and R for the Modern Data Scientist: the Best of both Worlds

Format: Paperback

Language: English

Publisher: O'reilly Media, INC International Concepts USA

Subject: Computer Science

Publication Year: 2021

Type: Textbook

Number of Pages: 175 Pages

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