R & Python: A Data Science Love Story

In this webinar, you'll learn how to develop, collaborate, manage and share your data science work in R and Python.

R & Python: A Data Science Love Story

January 22, 2020

Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages are tremendously powerful, teams frequently struggle to use them together. We’ve heard from our customers how even experienced data scientists familiar with both languages often struggle to combine them without painful context switching and manual translations. Data Science leaders and business stakeholders find it difficult to make key data science content easily discoverable and available for decision-making, and IT Admins and DevOps engineers grapple with how to efficiently support these teams.

In this webinar, you will learn how RStudio helps Data Science teams tackle all these challenges, and make the Love Story between R and Python a happier one:

  • Easily combine R and Python in a single Data Science project
  • Leverage a single infrastructure to launch and manage Jupyter Notebooks and JupyterLab environment, as well as the RStudio IDE
  • Organize and share Jupyter Notebooks alongside your work in R and your mixed R and Python projects

This webinar will show examples of all these capabilities, and discuss the benefits of leveraging R and Python.

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About the speakers

Lou Bajuk

Lou is a passionate advocate for data science software, and has had many years of experience in a variety of leadership roles in large and small software companies, including product marketing, product management, engineering and customer success. In his spare time, his interests includes books, cycling, science advocacy, great food and theater.

Sean Lopp

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.