R & Python: A Data Science Love Story
Learn how to use both languages in harmony.
Deepen the bond between R & Python
Many Data Science teams today are leveraging both R and Python in their work, but teams frequently struggle to use them together.
Data Science leaders and their business partners find it difficult to make key data science content easily discoverable and available for decision-making, while IT Admins and DevOps engineers grapple with how to efficiently support these teams without duplicating infrastructure. Even experienced data scientists familiar with both languages often struggle to combine them without painful context switching and manual translations.
In this webinar, you will learn how Posit helps organizations tackle these challenges, with a focus on some of the recent additions to our products that have helped deepen the happy relationship between R and Python:
- Easily combine R and Python in a single Data Science project using a single IDE.
- Leverage a single infrastructure to launch and manage Jupyter Notebooks, JupyterLab, VSCode and the Posit IDE, while giving your team easy access to Kubernetes and other resources.
- Share and manage access to R- and Python-based interactive applications, dashboards, and APIs, all in a single place.
