Why Python Is Better Than R for Data Science

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Leon Lok

Leon Lok

Күн бұрын

Пікірлер: 13
@LeonLokk
@LeonLokk 3 жыл бұрын
Thanks for watching! Do you agree with my reasoning? Let me know whether you prefer Python or R for data science 😀 0:00 - Intro 0:24 - General-Purpose Language 1:06 - Readability 1:49 - Popularity 2:30 - Deep Learning
@yuragulivatyy730
@yuragulivatyy730 2 жыл бұрын
Dude. I enjoy your channel. Honestly, I thought you had around 50k subs minimum.. Way underrated. Thanks for the great videos!
@LeonLokk
@LeonLokk 2 жыл бұрын
Wow, thank you so much for the kind words Yura! It means a lot!
@vitorribeirosa
@vitorribeirosa 2 жыл бұрын
Thanks for sharing this content
@LeonLokk
@LeonLokk 2 жыл бұрын
Thank you for watching, Vitor!
@ken_3948
@ken_3948 2 жыл бұрын
can u recommend a course for python data science?
@LeonLokk
@LeonLokk 2 жыл бұрын
Unfortunately I don't have anything off the top of my head right now, but you could probably find some good ones on Coursera or Udemy. Some universities offer good online courses too.
@shrutitawde4486
@shrutitawde4486 2 жыл бұрын
Hello can you please tell me should I take admission in bachelor of data science?
@LeonLokk
@LeonLokk 2 жыл бұрын
I don't know much about data science bachelor's degrees so I can't comment much on this one. Like all courses though, you should check the course structure carefully and make sure that there's also enough practical content.
@codewithmorris6492
@codewithmorris6492 2 жыл бұрын
nice! Python is great
@LeonLokk
@LeonLokk 2 жыл бұрын
Thanks Morris! I agree, Python is a great language :)
@davidzhong
@davidzhong 2 жыл бұрын
Your opinion could mislead people if I'm honest. Black and white logic doesn't help people see the truth easily. Whether R or Python depends on problems you're solving and the team culture.
@LeonLokk
@LeonLokk 2 жыл бұрын
Thanks for the feedback. I'd add that it also depends on the infrastructure you work with, and since (at least from what I've seen) most companies prefer having a more general infrastructure, Python seems to be the more logical choice for a data science team to use.
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