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R and Python are popular data science languages.

The prominence of R and Python is attributable to their ease of use and the enhanced productivity they deliver.

But, which is better at helping you get the most out of your analytic investments?

Rather than focusing on language wars, leading firms are realizing a competitive edge by encouraging interoperability.

Focusing on R or Python risks missing the advantages that having both can bring to individual data scientists and data science teams.

Outlook Series' Michael Lippis interviews Lou Bajuk to gain RStudio's perspective on R & Python.

Lou is a Sr. Director of Product Marketing at RStudio.