Debunking the R vs. Python Myth

For data science to be credible, agile and durable, we need to embrace the differences between R vs. Python.

Debunking the R vs. Python Myth

August 26, 2020

How many times have you heard the phrase “X is better than Y for data science”? This is a very common misconception among data scientists, and a very broad definition of data science as a whole. For data science to be impactful, it needs to be credible, agile, and durable. To be able to do this, we need to embrace the differences between R vs. Python. Maybe you prefer R for data wrangling and Python for modeling - that’s great! Why should serious data science be stifled for the sake of language loyalty? Data science teams need to use the wealth of tools available to them to deliver the most impactful results. This webinar will be a discussion among data science leaders, debunking this common myth.

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About the speakers

Daniel Chen is a PhD student at Virginia Tech in Genetics, Bioinformatics, and Computational Biology ( GBCB ). He is a former RStudio intern working on the gradethis package and Author of Pandas for Everyone, the Python/Pandas complement to R for Everyone.

Jared P. Lander is Chief Data Scientist of Lander Analytics, the Organizer of the New York Open Statistical Programming Meetup and the New York & Washington DC R Conferences and an Adjunct Professor at Columbia Business School. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. He is the author of R for Everyone, a book about R Programming geared toward Data Scientists and Non-Statisticians alike. His writings on statistics can be found at

Sean Lopp

Solutions Engineer

Sean has a degree in mathematics and statistics and worked as an analyst at the National Renewable Energy Lab before making the switch to customer success at RStudio. In his spare time he skis and mountain bikes and is a proud Colorado native.

Carl Howe is the Director of Education at RStudio and has been a dedicated R user since 2002. Carl leads a team of professional educators and data scientists at RStudio whose mission to train the next million R users globally. Carl regularly teaches workshops on topics such as reproducible R Markdown and RStudio’s Pro products to help R beginners become productive more quickly. Carl lives with his wife Carolyn in Stow, Massachusetts at the pleasure of his two cats.

Samantha is a Virginia native with a background in social psychology and statistics. She’s passionate about making data literacy more accessible for everyone, regardless of their means or background. When she’s not using R to analyze hip hop, she’s rewriting nasty math equations in Latex, organizing R-Ladies meetups, or getting her hands dirty in her vegetable garden. She lives with her partner, Nathan, and two big, stinky dogs.