PyCharm is unparalleled in its understanding of code and it's great for building codebases. It is a programmer's tool first and foremost. I find PyCharm's interactive features clunky and have to do extra work to see the data.

RStudio / Rodeo provides an interactive data analysis environment where multiple "views" are presented right in front of the user. A view could be a plot, a data frame or interactions between the code editor and the terminal. As a data analysis person it really helps to put the mental strain of code far away as possible and just explore the data.

Jupyter Notebook are nice but it can get overwhelming (too much scrolling) when things get complicated. Great teaching tool, however.

I think each of these tools have different use cases and it's great that Python is getting more user-friendly with the data science workflow.

I'd like to know this too... Comparison between PyCharm, Canopy, Spyder, Yhat, etc.

After using it for 10 minutes, it feels identical to RStudio. That's a good thing.

yeah, wonder what features are not covered by free version of PyCharm ( except of UI obviously copied from R)