Python vs. R comparison (by a die-hard Python fan)

Good one

exactly what i was looking for...and i am learning streamlit cherrypy and flask python framework

although i would love it if you could talk about microframeworks like cherrpy for a guy who wants to make basi food ordering apps with this

Hey Misra, I prefer python as well 🤗 Thank you so much for your great content, you helped me so much with your videos already and I love the way you explain things!! 🥰

Hi Misra, thanks for your summary. I came to Python via R. For complex visualizations I use R and HTML( Knit) exports. However, a good alternative for Python that I have been using for 2 weeks is Datalore...

thanks for the comparison! didn't know that the ggplot2 in R is one of the best visualization libaries available. maybe I should learn R in the future but will keep using Python for the moment

Thank you so much for the good comparison! Video of this quality are rare!
Like some people said, Python is production oriented and R research oriented (but you could do both with Python or R). In the end, one get a big advantage learning both. I think Python visualization is slowly catching up with R (even if the gap remain). There are also other libraries for machine/deep learning in R (tidymodels and torch/keras for instance), but they are not as mature as those from Python as you said.
Thank you again!

I have been using Python for a while and heard of R but now I'm intrigued with what it offers for statistic analysis. Will look into R. Thank you very much for this video

None of these. I will use x86 Assembly language for my next project since it is easy to use.

Noooo, you forgot to look at Tidymodels in the Machine Learning comparison section. It has really changed the game for ML in R.

Another big advantage of Python is that you are one it's instructors...❤❤❤❤❤❤❤❤❤❤

Good video but as an analyst who uses both languages I have to say that R is built for Data Science/Data Analysis (it´s not just a statistically focused language - Tidyverse is better than anything Python has to offer) especially Time Series where R blows Python out of the water. In general if I want to do any kind of stand alone analysis (data cleaning, analysis & visualization) I go with R. If I want to do machine learning/web scraping/build an analytical application/complex data pipelines I go with Python.

I love Python ❤

Great video, look into the Tidymodels framework, it is becoming increasingly famous for ML, and it builds on the Tidyverse syntax and logic.

R has a data wrangling and visualization framework called Tidyverse which is better than python libraries such as pandas , polars, matplotlib and seaborn. When it comes for machine learning in my opinion both languages have comparable framework/libraries , with 'R Tidymodels performing as well as scikit-learn on python additionally for time series (statistical models ) there is no room that python is better than R
Eventually i am not going to talk about deep learning because when you meet people you realize that the most of us still working with tabular data and traditional machine learning

I'm using both, but R seems to be more difficult to learn for me, I sill don't know why...
I feel more confortable using Python and Jupyter.

Thank you for the awesome videos.

One crucial advantage of R is that it is been used by researchers. If you want to use a very special kind of a ML algorithm that was established in a relatively unknown paper there is no way somebody implemented it in a Python module. However the authors of the paper themselves probably coded it and publsihed a R lib. So if you want to keep up with scientific literature and use them in your own work R is the way to go.

R at the beginning was very simple to write and understand.
R was similar to other programming languages (Python, Matlab...).
Unfortunately Hadley Wickham and the Rstudio team destroyed this simplicity by adding the %>%, |> pipe (supposedly for compact code) and the tidyverse, tibble ...

R is best

Which is better for DataViz, GGplot2 or Origin?