Python "wars" are crazy.) and we could focus more on solving problems and not on "which language is better" flame wars. also Scala) it would be also great "positioning" for RStudio as the ultimate Data Science IDE & maybe it could even bring communities together (f.e. +Tip/Food for thought: IMHO with support for Python, Julia (or f.e. I’m open-sourcing the Python interface for JOY OF PROGRAMMING - a programming game where you automate all kinds of machines, robots, drones and more. Jupyter/IPython as data science platform is great, but to have it all in one place and in advanced IDE like RStudio. would you consider also support for Julia in near future? (I mean. That is awesome! Thank you for that! So far for Python I use mostly Rodeo or P圜harm, but it will be great to have both in RStudio.ītw. If you are an R developer that uses Python for. It’s never been our goal to make RStudio a fully multilingual IDE, but we’ve improved Python support in every release (check out the integration with the reticulate package if you haven’t already), and have plans for more Python support in 1.2. Reticulate embeds a Python session within your R session, enabling seamless, high-performance interoperability. There’s not support for it specifically, but since we now have a terminal that you can send lines to, and you can run Python in that terminal, it’s surprisingly usable. This webinar will show examples of all these capabilities, and discuss the benefits of leveraging R and Python.In RStudio 1.1, you can use RStudio as a Python REPL. R is a bit slower than Python but still fast enough to handle big.
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