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.

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 case study that demonstrates ways to use these languages together

About the Author

Boyan Angelov is a senior data strategist and consultant with nearly a decade of experience in several academic and industry environments, covering a variety of topics such as bioinformatics, clinical trials, HRTech and management consulting.

Rick Scavetta has worked as an independent workshop trainer, freelance data scientist and co-founder since 2012. Operating as Scavetta Academy, Rick has a close and recurring presence at primary research institutes across Germany. His online courses at DataCamp have been taken by over 200,000 students since 2016 and he's also contributed to advanced data science courses for O'Reilly and Manning. Rick currently serves as the technical curriculum advisor to the Misk Academy in Saudi Arabia and heads the development of their Data Science programme.

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