Thanks for watching! The truth is you can't go wrong with either, but if you have particular goals, then one might make sense over the other, to start.
I agree with everything you stated except for the community thing. I instantly found help for R because it's more specialized and focused and it's followers are more dedicated.
As a biologist, many pipelines seem to use both R and Python. I got some R training at uni, so I'll learn Python now, by myself. Python is a bit more common and I'm not actually writing my own scripts at this stage, just running other people's, but Python is more useful for fixing/editing those scripts (because there often is something that needs changing).
i started R almost 1,5 years and am enjoying the tool. however many colleagues only use Python and seem to be annoyed with the R code. this is due to the fact that my company is working with MS tools, and microsoft decided to go all in with Python. i feel the pressure to learn coming closer.
Well Python offers 10-20x more jobs than R atleast in my country. So if a person's goal is to get a job & have plenty of opportunities then I think Python is the language. Being a non programming & more from excel background I choose R and the whole moving up the ladder has now become a big question for me as in to move with R/data.table, Spraklyr ..etc etc .. or with Python/pyspark etc etc friendly environment. I think because of the tech firms domination in the market (instead of Banks/Inv. B like earlier) Python is necessary & R is just optional as this doesn't show up as a preference in most of job opportunities (my experience from the interviews & opportunities that I came across in my country).
@@adreto2978 I only apply for Data Science or Data analytics or Data engineer(rarely). And in last 2-3 years I have been in discussions with atleast 20-25 opportunities and only 2 required R that too one of them needed to migrate from R to Python. Rest all the jobs required Python only.
R is for statistics, Python is for data science. If you want to do deep learning, then surely Python. If you only do statistics most of your work, then R is easier.
With R you can do all you can in python. And with tidyverse R is in other level. I remember that machine jearning, deep learning, etc is based on statistics and maths whre R is superior
Very well researched explanations! Hope your channel goes long way..Best wishes. I did a hit and trial on both the languages past few months and all my experiences are in perfect agreement with yours.
There is zero visualization gap. I think he doesn't know R and Python well enough. I used both, R and Python now for 7+ years. At the beginning, R seemed to be better in visualization (ggplot2), but Python quickly catched up (seaborn, and now even more newer package). There is zero visualization gap now. Even ShinyR is now available for Python. => pip intall shiny => there you go!
In 2023 (or 2024), learn Julia! It's come a long way in the last few years. R and Python are still great choices but they're far from the only options these days for data science.
I know this video is old, but like when you mentioned jupyter notebooks for python, it's kinda baffling that you didn't mention the fact that R should be fully support in jupyter, since the idea with those is mixed code blocks. So you can have markdown blocks and python blocks and R blocks, Julia and even c blocks if you hack it enough. I watched this video because I'm already fairly proficient in python and was thinking should I learn R and when you mentioned both, Jupyter is the first thing that comes to mind
When you listen that R has better visualization tools than Python... raise an eyebrow... when you listen that there is a separation between statistics, data science and machine learning... just run!
@@nifftbatuff676 It's not whether Python has better tools or not for visualizations. You can create great visualizations with both languages. My point was that when people say that R has better visualizations, it means that they don't know Python well enough. So my advice... pick a language and learn it as good as you can.
Thanks for the great advice Aaron! Can you please answer a few questions of mine. Im not from CS background and really want to pursue data science as a career. 1. Should I just start from learning programming lang like python/R or first learn C or C++ or JAVA ? 2. Any Source to learn Statistics, ML, DL from basics? Thank you Aaron.
Name one (1) of the top 25 department of statistics in the world that use Python to analyze data? I'll wait. What do "you" (impersonal) now about data analysis that statisticians do not know? Python wastes a lot of time to do some simple data analysis tasks.
Thank you for the advice. I am in a chemical engineering and this question has been on my mind for a while. Sounds like R is the way to go. Looking forward to your other R related videos :)
I would say R. You can get going pretty fast. I love both languages. R changed my life in many ways. I would also develop advanced excel skills. You don’t need VBA, but formulas, pivot tables and formulas (building dashboards) are great. You really won’t go wrong starting with R in a business analytic setting.
@@riteshsharma3627 Weird that it's causing an issue so often.. I think you can run R in VS code, but I've never done it. Here's an article on how though: www.infoworld.com/article/3625488/how-to-run-r-in-visual-studio-code.html#:~:text=VS%20Code%20is%20free%20and,squares%20to%20search%20for%20extensions.
Thanks for watching! The truth is you can't go wrong with either, but if you have particular goals, then one might make sense over the other, to start.
I agree with everything you stated except for the community thing. I instantly found help for R because it's more specialized and focused and it's followers are more dedicated.
That's completely fair actually. The R community is very passionate, and highly focused.
this is what actually brought me to R
As a biologist, many pipelines seem to use both R and Python. I got some R training at uni, so I'll learn Python now, by myself. Python is a bit more common and I'm not actually writing my own scripts at this stage, just running other people's, but Python is more useful for fixing/editing those scripts (because there often is something that needs changing).
*feels attacked 20 seconds in*😂😂😂
Haha hopefully not too much! Truth is they're both good options, you can't go wrong!
i started R almost 1,5 years and am enjoying the tool. however many colleagues only use Python and seem to be annoyed with the R code. this is due to the fact that my company is working with MS tools, and microsoft decided to go all in with Python. i feel the pressure to learn coming closer.
I program in R. I love it. You should learn Python.
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
Intro to statistical learning now has exercises in Python as well!
Well Python offers 10-20x more jobs than R atleast in my country. So if a person's goal is to get a job & have plenty of opportunities then I think Python is the language.
Being a non programming & more from excel background I choose R and the whole moving up the ladder has now become a big question for me as in to move with R/data.table, Spraklyr ..etc etc .. or with Python/pyspark etc etc friendly environment.
I think because of the tech firms domination in the market (instead of Banks/Inv. B like earlier) Python is necessary & R is just optional as this doesn't show up as a preference in most of job opportunities (my experience from the interviews & opportunities that I came across in my country).
R is just as much of a programming language as python if you learn how to use.
But not all of those python jobs would be data related right?
@@adreto2978 I only apply for Data Science or Data analytics or Data engineer(rarely). And in last 2-3 years I have been in discussions with atleast 20-25 opportunities and only 2 required R that too one of them needed to migrate from R to Python. Rest all the jobs required Python only.
@@vineetsansi okay sounds good thanks for response. I agree
I love the procrastination bit 😂
That's good of you, much respect
Choose python if you hate indexing starting by 1. It just hurts.
R is a secret power, Python is cool but R levels you up
R is for statistics, Python is for data science. If you want to do deep learning, then surely Python. If you only do statistics most of your work, then R is easier.
@easydatascience2508 Probably, it was the old R. R is not just limited to statistics now but also machine learning and building models.
What about data vis? R is also objectively superior
@@harristokpah8114 and people forget that maching learning and data science stuff is essentially stats lmao
@@vincentrobitaille4564 this guy sure did lol
With R you can do all you can in python. And with tidyverse R is in other level. I remember that machine jearning, deep learning, etc is based on statistics and maths whre R is superior
Very well researched explanations! Hope your channel goes long way..Best wishes. I did a hit and trial on both the languages past few months and all my experiences are in perfect agreement with yours.
I have been working with R for a year now and i been concluded, go with python. It does matter when it comes to technicality
I am so excited watching this presentation as a beginner
I'm a structural person, now I know what's best for me. Thanks Aaron.
Love the way how you start the video !😄
Plotly is really great for both Python and R.
Great video Aaron. Can you do an update on the visualization gap between R. & Python?
There is zero visualization gap. I think he doesn't know R and Python well enough. I used both, R and Python now for 7+ years. At the beginning, R seemed to be better in visualization (ggplot2), but Python quickly catched up (seaborn, and now even more newer package). There is zero visualization gap now. Even ShinyR is now available for Python. => pip intall shiny => there you go!
There is now plotnine which is ggplot2 for Python.
Man thank you so much for this video!
Glad it was helpful!
In 2023 (or 2024), learn Julia! It's come a long way in the last few years. R and Python are still great choices but they're far from the only options these days for data science.
First time I've heard someone say Python had a tougher learning curve.
Thank you for the advice
Thank you for your guidance God bless you brother ❤❤❤❤❤❤
moving from xlsx, R is easier, but you have to read the dicumentation
Excellent advice, loved the intro. Thank you Aaron!
Thanks for watching!
Thank you for sharing! Pretty straightforward and to the point!
I love R . It is amazing for stastistical analysis
Thank you for the video
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
What are your thoughts on SAS?
Why in 2023 Python is still behind R for data analysis and visualization?
I know this video is old, but like when you mentioned jupyter notebooks for python, it's kinda baffling that you didn't mention the fact that R should be fully support in jupyter, since the idea with those is mixed code blocks. So you can have markdown blocks and python blocks and R blocks, Julia and even c blocks if you hack it enough. I watched this video because I'm already fairly proficient in python and was thinking should I learn R and when you mentioned both, Jupyter is the first thing that comes to mind
Best comparison on TH-cam 🎉
The best I could see on you tube on this topic.... 😀
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
great video straight to the points
the answer is simple. you just have to know the meaning of life first
Deep.
I already know both languages, and this still feels like a roast.
Thank you so much. R it is for me for now.
When you listen that R has better visualization tools than Python... raise an eyebrow... when you listen that there is a separation between statistics, data science and machine learning... just run!
What Python visualizazion tool is better than R equivalent?
@@nifftbatuff676 It's not whether Python has better tools or not for visualizations. You can create great visualizations with both languages. My point was that when people say that R has better visualizations, it means that they don't know Python well enough. So my advice... pick a language and learn it as good as you can.
"Just pick one language and learn it As good as you can " - @@dimitrioskioroglou4316... I take this man.
@dimitrioskioroglou4316 You don't Know R jaja.
Thanks for the great advice Aaron!
Can you please answer a few questions of mine.
Im not from CS background and really want to pursue data science as a career.
1. Should I just start from learning programming lang like python/R or first learn C or C++ or JAVA ?
2. Any Source to learn Statistics, ML, DL from basics?
Thank you Aaron.
Have you learnt it now
Procrastinating...but I know I have to learn R for this Google certificate. 🤣😂🤣
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
Dude you are cool definitely subscribe
Name one (1) of the top 25 department of statistics in the world that use Python to analyze data? I'll wait. What do "you" (impersonal) now about data analysis that statisticians do not know? Python wastes a lot of time to do some simple data analysis tasks.
Thank you for the advice. I am in a chemical engineering and this question has been on my mind for a while. Sounds like R is the way to go. Looking forward to your other R related videos :)
Thank you for the video, however R is also used in the industry
Great video ✔️
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
If you are a business analyst, what is the better one to learn?
I would say R. You can get going pretty fast. I love both languages. R changed my life in many ways. I would also develop advanced excel skills. You don’t need VBA, but formulas, pivot tables and formulas (building dashboards) are great. You really won’t go wrong starting with R in a business analytic setting.
Rstudio console very slow after running line of code to bring cursor again. Any solutions?
Can you copy and paste the code here? Usually a good way to fix it is to restart R studio
@@AaronMOliver it's google data analyst capstone project. Re-start r studio everytime is not efficient. Does vs code work smooth?
@@riteshsharma3627 Weird that it's causing an issue so often.. I think you can run R in VS code, but I've never done it. Here's an article on how though: www.infoworld.com/article/3625488/how-to-run-r-in-visual-studio-code.html#:~:text=VS%20Code%20is%20free%20and,squares%20to%20search%20for%20extensions.
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
Good explanations, but now the real question I have is- how many offices you have, man? Different background every video!!
I have several underground locations that I move between on a weekly basis..
Welcome to subscribe my channel of Python and R on youtube:
www.youtube.com/@easydatascience2508/playlists
Have a good day !😊 Wei
learn python
Matlab, best of both worlds..!
R is best !!!
Its super easy to save a html format of a .ipynb file so I disagree with that statement. But everything else is great! Thanks for your video!
20 seconds in and my boy is cutting deep with that question 🫡