Python support and the locations of the Python environments are specified in the RStudio Connect configuration file. #> 119.61538 134.23077 148.84615 163.46154 178.07692 192. RStudio Connect (version 1.7.0 and higher) can be configured to point to one or more versions of Python on the server that will be used when Python content is published. Configuring Python with RStudio Workbench. #> 17.30769 31.92308 46.53846 61.15385 75.76923 90.38462 105.00000 The best approach for using Python with RStudio Workbench and RStudio Connect is to install one or more versions of Python on the server that are independent of the system-managed version of Python. #> 3 0.03931055, 57.57065027, 29.49864839 The sourcepython () function will source a Python script and make the objects it creates available within an R environment (by default the calling environment). That’s why the RStudio team has been focusing on creating the ultimate open-source data science ecosystem with the RStudio suite. #> 4 dweibull 0.0003783728 67.92109 32.61583 1.487238 Like most Data Science teams, RStudio understands the value Python and R can provide in different contexts and when leveraged together. Get Started Examples Powerful Create highly interactive visualizations, realtime dashboards, data explorers, model demos, sophisticated workflow apps, and anything else you can imagine all in pure Python, no web development skills required. I don't want to install unnecessary packages on my Windows setup so I have tested this on Posit Cloud but it should be very similar for you: library(reticulate)
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