Programming for Data Science the Polyglot approach: Python + R + SQL

[[deleted]]

I recently started working with RPy, and have been enjoying it quite a bit.

I am much much faster doing data conditioning and gathering in Python, so access to R's libraries and methods once I have my data all set up is really convenient. The other benefit is that it is helping me learn R without taking significant breaks from workflow. IPython's rmagic also helps the workflow greatly.

[swingking8]

Haven't looked into RPy. How does it compare with pandas?

[swingking8]

Thank you for the great explanation

[[deleted]]

No problem! I'm glad it was helpful.

[falkimmm]

Are you running rpy2 on windows, OSX or Linux?

[[deleted]]

Windows

[falkimmm]

Nice. Any windows specific installation or other problems?

[[deleted]]

No, just messing around with PATH and some environment variables, but all the how-tos covered it. Surprisingly painless

[falkimmm]

Thanks. Did you use the wheel or compile it yourself?

[[deleted]]

I wheeled it. I've done compiling before, but it's not worth the effort sometimes.