Rick Scavetta
Python and R for the Modern Data Scientist: The Best of Both Worlds
Python and R for the Modern Data Scientist: The Best of Both Worlds
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Excellent- More about Python and R for the Modern Data Scientist: The Best of Both Worlds
Success in data science depends on the flexible and appropriate use of tools, such as Python and R. This book teaches data scientists how to speak the dialects of each language and identify use cases where one language is better suited than the other. It also provides an overview of the modern open source ecosystem available for both languages, including packages, frameworks, and workflows.
\n Format: Paperback / softback
\n Length: 175 pages
\n Publication date: 02 July 2021
\n Publisher: O'Reilly Media, Inc, USA
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Success in data science hinges on the judicious and adaptable application of tools. This encompasses the utilization of Python and R, two of the fundamental programming languages in this domain. By gaining proficiency in these languages, data scientists from both the Python and R communities will be able to communicate effectively. By appreciating the unique strengths of working with both, you will uncover innovative approaches to tackle data science challenges and enhance your skill set. Authors Boyan Angelov and Rick Scavetta elucidate the similarities and differences between these languages, emphasizing their respective strengths, such as linguistic features or the robustness of their open-source ecosystems. Furthermore, this book will empower you to seamlessly integrate Python and R in real-world scenarios, broadening your knowledge and expanding your career prospects as a bilingual data scientist.
Acquire Python and R knowledge from the perspective of your current language.
Understand the strengths and weaknesses of each language.
Identify specific use cases where one language outperforms the other.
Gain insights into the modern open-source ecosystems supporting both languages, including packages, frameworks, and workflows.
Learn how to seamlessly integrate R and Python in a single workflow.
Follow a real-world case study that showcases effective ways to leverage these languages together.
\n Weight: 360g\n
Dimension: 177 x 233 x 17 (mm)\n
ISBN-13: 9781492093404\n \n
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