Open radaniba opened 9 years ago
I'm really interested in this idea; R+Python is the 'ambidexterity' of scientific software today. Maybe the first place to go is the Vancouver polyglot meetup? I'll come throw down if you do :)
I'm subscribed in that meetup for a while but never got the chance to get into one meeting, may be it is the time to do so :) I'll keep an eye on their next event
Cool iPython notebook with both R and Python in it:
https://plot.ly/ipython-notebooks/survival-analysis-r-vs-python/
Fantastic, I saw that yesterday, funny :) Thanks @jennybc for sharing
One more comparison R vs Python, one more reason to learn them both at the same time :)
http://blog.dominodatalab.com/comparing-python-and-r-for-data-science/
I love both R and Python, but when it comes to data analysis, we always find ressources focusing on one of them. I used both languages a lot in my career, and I find them both equally interesting and can be used even together depending on the context (this is something I do a lot)
That said, for beginners, there is in majority only one or another learning path depending on the target audience, and I personally think it is limiting and 'kind of sad' to be forced to learn sequentially and not in parallel.
When it comes to learning a new language, it is a matter of new syntax, the root is pretty much the same and most of the time some language specifications are pretty much the same is different languages.
This is a proposal and a call for R and Python developers to develop a dual learning ressources using R and Python together.
I am thinking about the final product as a page split into 2 columns, one for R and one for Python with pretty much the same course structure, that covers all aspects of 'learning to code' traditional process from structures, variables, conditions, loops to object oriented practices and classes in both languages
Consider this as a call for an awesome dual cookbook programming course. All contributors can share snippets and code of the course at CodersCrowd where we can test, debug and develop the course structure separately, before building the whole beast.
I suggest to add this project to MozillaScience's Collaborate
All suggestions are welcome.
Cheers
Rad