IPython vs RStudio+knitr

[This article was first published on bayesianbiologist » Rstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

At a meeting last night with some collaborators at the Vélobstacles project, I was excitedly told about the magic of IPython and it’s notebook functionality for reproducible research. This sounds familiar, I thought to myself. Using a literate programming approach to integrate computation with the communication of methodology and results has been at the core of the development of the RStudio IDE and associated tools such as knitr.

Here is Fernando Pérez speaking at PyCon Canada 2012 in Toronto about IPython for reproducible scientific computing.


This looks like convergent evolution in the R and Python communities, and I’m sure these projects can (and have already) learn a lot from each other.


To leave a comment for the author, please follow the link and comment on their blog: bayesianbiologist » Rstats.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)