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Comment by eruditely | Hacker News Reader

I've been playing around with this library and really like it. Python really is that much easier to use than R isn't it? Too bad most on the libraries are still in R. It's strange that there isn't a language written on top of R that is less troublesome to use or learn.

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There are a lot of smart people that like Python. There are a lot of smart people that like R too. Bokeh is designed to be useful from both R and Python (and other languages as well).

Here is a recent presentation showing Bokeh (from Python) along with data-shading to visualize billions of points quickly: http://www.slideshare.net/continuumio/visualizing-billions-o...

Here is another presentation showing integration of Bokeh with R to visualize geographical data from another group: http://ryanhafen.com/blog/rbokeh-gmap

0.11 and above releases of Bokeh contain a server that provides a very nice application model that can be synchronized between browser and server for allowing data scientists to build interactive plotting-based applications in the browser. Here are some simple examples of that: http://demo.bokehplots.com/

Call the libraries with Rpy2, or build models using a DAG of functions and distributions with pymc 3

Thanks i'll check that out.

Fortran programmers find it much "easier" than other languages. You are arguing about a subjective matter here. The fact that there are so many R packages and users shows it is useful to a large enough subset of users in statistics/data science domain.

Speakers of English think it is easier than Swahili, but we know from language acquisition studies that Swahili is easier to learn in the large.

Your use of "subjective" is imprecise and overly relativistic. Just because something has to do with the human mind, or human experience, doesn't make that thing a priori subjective.

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