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Python and R are both common and powerful language for data science tasks. In this video Martin Keen, Master Inventor, provides an overview of R and Python and what questions you need to be asking before you choosing how to proceed on your next project.
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learn both and sql on top
So in summary learn the 2
"I'd like to explore what these two languages 'R'"…I see what you did there 😂
Didn't you have a beer brewing channel?
why not using sas?
Ive been learning python the passed months to see how to automate stuff. But Im a political scientist student and it seems R fits more for my career, if I want to do political research
Ive been learning python the passed months to see how to automate stuff. But Im a political scientist student and it seems R fits more for my career, if I want to do political research
Just want to mention that R is based on S which was developed initially in the 1970s then rewritten in C in 1988. R came later as an open source project but it would be fair to say that R is older than Python in that sense. 🤓
R has over 15,000 packages on CRAN… which enables it do to anything. It has become a general purpose programming language.
Numpty Dumpty sat on a wall.
u r so cute when u correct urself 🤣
2:05 was great helped everything clicked better
Well, most people who are learning to program are learning to program, not just to do statistics. Python is up there with C and Java. Those languages trump R in OOP and device optimization. That’s why Python is recommended more, you can do more than just stats and ML with it.
Thank you so much!
I use Julia and R
I would argue that matplotlib makes Python at least as attractive for data visualization as R.
as is "A"? 0:09 What do you talking about man?
5:57 this is not true, the tidyverse is superior to pandas
Numpty
nice
im blown how old python is
In my personal experience: if you only need to write some short/quick scripts, R may be better, just a little; if you only need to write some long scripts, both R and Python are suitable; if you need to write a real application, R is far behiand Python. I started with R, but gradually switched to Python. The reasons include: more consistent syntax, more friendly packages, faster evoluation. For now, there left only 2 reasons for me to continue using R: 1. ggplot2: much better than its Python alternatives; 2. the "down" series R packages, because I already setup my writing system with them.
This dude is great
"awesome looking visualisation and graphics?" "use R".. but, you can do all sorts of visualisation in Python too
I’ll start with R so I can learn more stats at the same time 😎
Good lecture but you need to learn how to spell. What was that jupyter spelling bro 🤣
0:59 what is difference between machine learning and statistical learning?
The thing is you can integrate python into any production system.
I wonder if he used R or Python when brewing 99 beers?
R
That is my big problem, I probably have to use both and that confuses me. I now found out that there is an R plugin in PyCharm. At first glance it works but not as well as RStudio… Or I am too inexperienced.
Numpty? You numpty 😅
I didn’t watch, because I don’t need to. Your comparison is off. You can compare R to Pandas, that would make sense. But I couldn’t imagine a world where you convinced me that R could be more value than the entirety of Python. It’s a competitor to one single library.