Python and R Vie for Top Spot in Kaggle Competitions

[This article was first published on R – r4stats.com, 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.

I’ve just updated the Competition Use section of The Popularity of Data Science Software. Here’s just that section for your convenience.

Competition Use

Kaggle.com is a web site that sponsors data science contests. People post problems there along the amount of money they are willing pay the person or team who solves their problem the best. Both money and the competitors’ reputations are on the line, so there’s strong motivation to use the best possible tools. Figure 9 compares the usage of the top two tools chosen by the data scientists working on the problems. From April 2015 through July 2016, we see the usage of both R and Python growing at a similar rate. At the most recent time point Python has pulled ahead slightly. Much more detail is available here.

Figure 9. Software used in data science competitions on Kaggle.com in 2015 and 2016.

To leave a comment for the author, please follow the link and comment on their blog: R – r4stats.com.

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)