Processing 100+ GBs Of Data In Seconds Using Polars GPU Engine

Рет қаралды 13,818

Krish Naik

Күн бұрын

Пікірлер: 35

@krishnaik06 2 ай бұрын

GitHub: nvda.ws/gpu-polars-xi Colab: nvda.ws/gpu-polars-xo

@medbrahimabdelbeki9971 2 ай бұрын

I think eveyrone should like the video before even watching. The amount of knowledge this guy is giving for free is tremendous! It s like a free Coursera/Udemy channel Thank you!

@pramodrajadhyax9286 2 ай бұрын

Most awaited video ❤🎉

@curiousskeptic 2 ай бұрын

For your upcoming computer vision course please make sure it’s relevant to the Job Market (Vision Transformers, Self-Driving Cars….etc)

@dmho888 2 ай бұрын

sir, when is the big data engineering course coming out in udemy?

@bp2807 2 ай бұрын

Krish sir thank you for the amazing courses. When is Big data engineering course coming? Hope it will cover it advance level

@Sheikhbilal5757 2 ай бұрын

I am also waiting....

@sutanukanayak9935 2 ай бұрын

Aaah this was sooooo helpful

@prateeksinghrajput3760 2 ай бұрын

Sir when are tou going to launch the big data engineering course,i am eagerly waiting for it,pls reply

@harrytan7443 2 ай бұрын

Love you krishnaik

@chiluverudivya1512 2 ай бұрын

Roster prediction with conditions include .1.When their is public holiday two members to be in each shift with respect to location , when their no public Holiday their should be min 3 members in shift. 2.understand incident volume in shift if their are more high average count of incidents in a day then there should be more employees allocated in a shift. Atleast 2 employees of same location should be in a same shift. High level employees should be available in a shift if there is high frequency of p1 or p2 observed in shift. 6.If there is any planned changes seen on a particular day then there should be more employees on that day allocated so on that week. 7 .If there are multiple planned changes seen on a particular day then there should be more employees allocated on that day son on that week.

@ComicKumar 2 ай бұрын

Sir we need to know how to perform the same on our local python files. There is too many errors and dependency issues when doing in local. It would be really helpful if you can show how to do the same locally without google colab!

@azharafridi9619 2 ай бұрын

Similar problem I am facing in face detection project which cannot run locally...

@ramdasvk0716 2 ай бұрын

Polars + DuckDB☠️

@arnavkumar5226 18 күн бұрын

Can you make a video on fireducks pandas ?

@dheenathsundararajan7225 Ай бұрын

Does it work on systems without a dedicated graphics cards

@chiluverudivya1512 2 ай бұрын

I have given shift automation use case can you please explain it.

@SAYEDHASINOORALAM 2 ай бұрын

Sir when your CNN & Object detection semantic segmentation udemy course will come ?

@HecSalms 2 ай бұрын

Processing the data in a fast way is very useful. But one of the major problems that I've faced is loading the data into memory, because the data can not be loaded when it is too large. Someone knows what to do in this case, like chunking the data with a known library? Or must this necessarily be done with a personal code?

@Mohitboin 2 ай бұрын

Sir, I noticed two courses on Udemy: "Complete Python with DSA Bootcamp" and "Complete Data Science, Machine Learning, DL, NLP Bootcamp," which also includes Python topics. Could you please explain the difference between them? Thank you 🎉

@krishnaik06 2 ай бұрын

@@Mohitboin python is included in ml course without dsa