Using Python with RStudio Team HD

01.06.2022
Thanks everyone for switching over with us! If you want to ask questions, you can use: rstd.io/meetup-questions Using Python with RStudio Team Led by David Aja, Solutions Engineer at RStudio *please note that this meetup will cover our enterprise product, RStudio Team but all who are interested in joining are welcome! Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages have unique strengths, teams frequently struggle to use them together: ⬢ Data Scientists constantly need to switch contexts among multiple environments. ⬢ Data Science Leaders wrestle with how to share results consistently and deliver value to the larger organization, while providing tools for collaboration between R and Python users on their team. ⬢ DevOps engineers and IT Admins spend time and resources attempting to maintain, manage and scale separate environments for R and Python in a cost-effective way. Join David Aja in this meetup, which will highlight how other data science teams are able to solve these problems with RStudio Team by: ⬢ Combining R and Python in a single data science project. ⬢ Launching and managing RStudio, Jupyter Notebooks, JupyterLab, and VS Code from the RStudio Workbench environment ⬢ Sharing Jupyter Notebooks, Python APIs via Flask, Dash, Streamlit, Bokeh, FastAPI, Shiny, R Markdown, etc. with the business through RStudio Connect. ⬢ Controlling and distributing Python and R packages with RStudio Package Manager. For more information on RStudio Team: www.rstudio.com/products/team/ To chat with RStudio: rstd.io/chat-with-rstudio

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