![]() ![]() Ĭreate and activate Python virtual environmentĮach project might require different versions of packages and this can be encapsulated in a virtual environment. Navigate and save your project: File -> New Project – > Existing Directory (linked to the GitHub folder if applicable) / New Directory ( if you work locally). You’ll find below the simple steps to help set up a project in R Studio so you can start using Python: Create an R Studio Project: Wait, what? Why would you use R Studio as an IDE for running Python? There’s a simple answer to this question: this is the perfect Data Science IDE when you use R and Python together.
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