Python and R for the Modern Data Scientist
Rick Scavetta
Verkauft von Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
AbeBooks-Verkäufer seit 11. Juni 2025
Neu - Softcover
Zustand: New
Anzahl: 2 verfügbar
In den Warenkorb legenVerkauft von Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
AbeBooks-Verkäufer seit 11. Juni 2025
Zustand: New
Anzahl: 2 verfügbar
In den Warenkorb legenSuccess 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 languageUnderstand the strengths and weaknesses of each languageIdentify use cases where one language is better suited than the otherUnderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowsLearn how to integrate R and Python in a single workflowFollow a real-world case study that demonstrates ways to use these languages together.
Bestandsnummer des Verkäufers LU-9781492093404
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. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set.
Authors Rick Scavetta and Boyan Angelov 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. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities as a bilingual data scientist.
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