Hello Data Professor, Yesterday I was told that I should have at least 1 TB of SSD to run my models (species distribution modelling), so now I'm in doubt about it. Should I buy a faster SSD, like NVME drivers with +3000MB/s? Or buy more RAM? The SDM is just for one species, but with bioclimatics and landscape data.
Hard drive vs RAM really depends on the job at hand. If massive amounts of data are being generated then large and fast hard drives are important but if calculations require lots of temporary storage then RAM is also crucial, in Linux the swap space could act as a sort of virtual RAM as well.
Could you please make a video on how to connect the a google cloud cluster to the google colab? I am having difficulties following Google tutorials on doing it. I am running out of the google colab pro memory. Thanks a lot!
Why do I need to define variable and import library every time whenever I need it in a particular shell, can't we just in define variable one shell and try to use it in another shell...!!
Didn't explain how you'd actually use this tool for actual work. Most the video you were showing how Markdown works which is wasn't what the video was titled as.
We have covered important use cases of colab, running code, changing environment, saving data , downloading, uploading and sideloading data, importing libraries and Variable inspector (new feature introduced recently)
Sorry but this video is not up to the level of your other videos. Here, wasted most of the time just showing how to make headings. Could have shown some more basic things, for example, font size, file import or directory. Good luck for the upcoming ones.
It is good that colab can be used with PyMol, thanks for the brief tutorial video.
Thanks for watching 😃
This is so easy to follow and encouraging to use the tool. Thank you for this video krub!
Glad it was helpful! Thanks for watching krub 😊
Guess none of the UA-camrs have shown such in-detail G- colab usage.
Glad you liked the content 😃
Thanks Data Professor, for your excellent tutorial!
You are very sympathetic
Thanks you for the teaching, so explanatory
Excellent video!! Thank you very much Data Professor!
Glad it was helpful!
Excellent teaching. Thank you very much.
Very nice and compact.
Thank you!
Thanks a lot sir. I was looking for such a video.
Thanks for watching 😄
Thank you so much for your help ^^ Data Professor ^^!
Thank you for watching!
Thank you so much professor!
You're very welcome!
Excelente profesor! Muchas gracias!
You’re welcome!
Hello Data Professor,
Yesterday I was told that I should have at least 1 TB of SSD to run my models (species distribution modelling), so now I'm in doubt about it. Should I buy a faster SSD, like NVME drivers with +3000MB/s? Or buy more RAM? The SDM is just for one species, but with bioclimatics and landscape data.
Hard drive vs RAM really depends on the job at hand. If massive amounts of data are being generated then large and fast hard drives are important but if calculations require lots of temporary storage then RAM is also crucial, in Linux the swap space could act as a sort of virtual RAM as well.
Great video, well done.
Thank you very much!
yo this guy is so good at explaining stuff haha
Thanks!
you're welcome man, and thank you
Could you please make a video on how to connect the a google cloud cluster to the google colab? I am having difficulties following Google tutorials on doing it. I am running out of the google colab pro memory. Thanks a lot!
What's better Azure ML Google Colab or AWS ML. Or oracle?
I kinda like Azure but still haven't decided. Colab looks like Jupiter notebooks
thank you so much!!!
Why do I need to define variable and import library every time whenever I need it in a particular shell, can't we just in define variable one shell and try to use it in another shell...!!
Hey coach - how easy is it to run R in collab?
Hi, I've made a video showing how ua-cam.com/video/huAWa0bqxtA/v-deo.html
@@DataProfessor thank you :)
Can you please tell how to interlink text cell to code cell.
example : how can I print text from text cell
You speak Clear English so I'm subscribing lol
It was really very helpful, keep charging Data Professor :^)
Thanks for the encouragement 😃
thanks a lot and keep going :)
Sure thing!
thanks, you are so cool
Hey, thanks!
Didn't explain how you'd actually use this tool for actual work. Most the video you were showing how Markdown works which is wasn't what the video was titled as.
We have covered important use cases of colab, running code, changing environment, saving data , downloading, uploading and sideloading data, importing libraries and Variable inspector (new feature introduced recently)
It's "hash" not "hashtag".
Great
Thanks!
What's your name again ?
It's Chanin
Sorry but this video is not up to the level of your other videos. Here, wasted most of the time just showing how to make headings. Could have shown some more basic things, for example, font size, file import or directory. Good luck for the upcoming ones.
You lost me at Shannon Nontut Cinemad