Re:How Python became the language of choice for data science
by ma2rten on Friday November 22, 2013 @06:53AM
(#6780302)
In the post it says "next to R", so I don't really see a contradition here. Both have their pros and cons. I think any data scientist should know how to use both.
R:
- has more ml libraries.
- is more mature than panadas (look at how pandas handles categorial data).
Python:
- has more general purpose libraries (e.g. language detection, html boilerplate extraction, query apis)
- can handle out of core learning (datasets, which don't fit into memory)
R:
- has more ml libraries.
- is more mature than panadas (look at how pandas handles categorial data).
Python:
- has more general purpose libraries (e.g. language detection, html boilerplate extraction, query apis)
- can handle out of core learning (datasets, which don't fit into memory)
- can run in production.
- is language of choice for deep learning