Navigating R and Python in Data Science

In this episode of DataFramed, we speak with Rick Scavetta and Boyan Angelov about their new book, Python and R for the Modern Data Scientist: The Best of Both Worlds, and how it dawns the start of a new bilingual data science community.  

Throughout the episode, Rick and Boyan discuss the history of Python and R, what led them to write the book, how Python and R can be interoperable, the advantages of each language and where to use it, how beginner data scientists should think about learning programming languages, how experienced data scientists can take it to the next level by learning a language they’re not necessarily comfortable with, and more. 

Relevant links from the interview:

• We’d love your feedback! Let us know which topics you’d like us to cover and what you think of DataFramed by answering this 30-second survey
• Check out Rick and Boyan’s book
• Check out Rick’s courses on DataCamp
• Check out Boyan's other books
• Connect with Rick on LinkedIn
• Connect with Boyan on LinkedIn