Комментарии:
luckily the R in Jupyter stands for R
ОтветитьNice piped piper
Ответитьggplot2 is goated
ОтветитьAs a data analyst, I find R far more intuitive to use than Python. I don't understand why Python is so popular these days. I guess because it is such a good multi-purpose language.
ОтветитьComing from R, and now starting to work in Python, I have to say that regular programming in Python is far more enjoyable than in R.
However, how one can use Python for statistical work, data analysis, and plotting is beyond me. WTF. Nothing comes close to dplyr in Python.
You know your a nerd if you laughed at the precision joke.
ОтветитьFunny how many people don't know that R is just as much of a programming language as python
ОтветитьDPLYR > Pandas... fight me.
Ответить😂 part 2 plz
ОтветитьR is statistician -designed language, Python is computer scientist designed. R's data structure index starts from 1, and Python starts from 0. R is perfect for statistics, Python is perfect for data science, artificial intelligence (deep learning). R's main job is inside statistics, Python has almost every thing about data science, for example web backend. R's learning curve is little easier than Python.
ОтветитьDid we tell you that you could come out of there??? LMFAO 😂😂😂
ОтветитьI always heard R OR Python, one or the other, you must choose and you must choose correctly!
But then I started my online master's program in Data Analytics Engineering 2 years ago and in the first course, our professor said to learn to use both and that has actually worked for me but as someone with basically no programming experience coming into the program (besides a year of learning and practicing SQL right before then), but with a fairly solid and deep statistical, probabilistic, and econometrics background if I do say so myself, I really really prefer R and more specifically, RStudio to Python! Sure me lol, 🤷
🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣
ОтветитьJava can do data science!! God that's new
ОтветитьI love you
Ответитьwide diaper
ОтветитьPython: virtual environment and dependency management hell, sub-par documentation, playing Russian nesting dolls to import a function, terrible syntax for data transformations, etc. It's a real shame IMO that Python is taking over the data-science industry.
Ответитьfeels like I'm the "penny" here .😐
ОтветитьLoved this one. The pied piper one got me last. I took that and stuck it on my table.
Ответитьme, whose name is julia: :(
ОтветитьJiji...
ОтветитьR Programming Fanboys!! Where you at?
ОтветитьTas loco hermano jajjajaja
ОтветитьWhat do you thing about Perl?
Ответитьomg magrittr: magrittr is not a pipe, but thats a funny joke
Ответитьi find ur skits funny, but maybe tag them as skit - funny just makes it seem a little like lower quality content 😋
Ответитьjajajaja arrrrgh
ОтветитьI love both my co-workers. They just have different strengths 🤣
ОтветитьI've been programming since I was 13 and honestly computation is totally language independent even though there's always different Paradigm shifts that are always evolving since the days of Fortran.
The truth of the matter is just because there's different libraries and packages that are already written and all you have to do is just pretend to be a hacker and jump into those libraries and packages and develop some code that is not even likely understood because it hasn't really been thought out yet or planned it's just sort of Cobble together.
The truth is the same results can be obtained using Microsoft quick basic so the language platform that the computation is actually performed in & Computation on is actually irrelevant just like anyone could write a thesis using notepad and nobody really needs to use Microsoft Word or Google Docs...
Python will come and go and something else will replace Python and all of its little funny libraries
videos in the future will be doing comparisons on whatever the next flavor of programming language are 10 years from now
Pied piper ahahaha
Ответить🤣🤣🤣🤣 that’s exactly how I imagine R to be lol! I’m a Python fan haha
ОтветитьMe again 😂 I just realized that R has a better precision. I was thinking why they'd still use R if they've got every library for DS in Python
ОтветитьThis is the battle we always wanted to see... mano a mano 👊👊
Ответитьlmao, shirt selection is on point
ОтветитьI think I’ll get a panda photo frame for my desk too.
ОтветитьMaster of none but better than a master of one...
ОтветитьJulia is my new favorite slam-piece! I don't know if she's ideal for my project but it's just fun to learn new things! Maybe you could do a video about what kinds of applications she's best suited for? Thanks!
ОтветитьPied pipe r -_-
ОтветитьMore funny videos like this please! Keep doing more funnies and you’ll get more views!
Ответитьmany com-sci friends from uni all say just stick with python
ОтветитьR meaning , Ross Ihaka and Robert Gentleman were the initial creators of R. It was initially released in 1993 an implementation of the S programming language.
ОтветитьHaha that Jupyter wasted letters of name on Julia 🤣 absolute mocking
ОтветитьCan we use R outside data science field?
ОтветитьPackage of the year...Pandaaaaaaa.......really funny
ОтветитьI'd love to see this this skit or a similar one, but after you've had 5 or 6 drinks lol
ОтветитьGood one, python is the shit tho, Tensorflow en PyTorch pull a lot of weight in the AI field.
ОтветитьMy favorite programming laguage is Python because I have been using it a lot for analyzing data and using Machine Learning. I have never used R.
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