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! If you'd like to share this event with others you can use the short-link: rstd.io/python-meetup
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