How To Speed Up Pandas in Python By 150x
Вставка
- Опубліковано 3 сер 2024
- If you use the 'Pandas' at all, you NEED to know about this library that will give you a 150x performance increase with no change in code. In this video I will be going over the revolutionary RAPID cuDF library presented by Nvidia to cover the massive.
🎞 Video Resources 🎞
Check out the cuDF Notebook: nvda.ws/3PSZH9i
Watch the NVIDIA AI & Data Science Virtual Summit: nvda.ws/46JWm3e
RAPIDS cuDF GitHub: github.com/rapidsai/cudf
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⏳ Timestamps ⏳
00:00 | Introduction
00:27 | What is RAPIDS cuDF?
01:13 | Demo Notebook
04:28 | Installing cuDF
07:03 | My Custom Demo
09:40 | AI & Data Science Virtual Summit
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🔖 Tags 🔖
- Machine Learning Python
- Python Pandas Tutorial
- Speed Up Pandas Code
Hashtags
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Tim! I love your videos. I’ve learned so much. I have a working website and I’m trying to use APScheduler on it to execute a function.
The function works because I can run it from the admin page. The scheduler works when I run it locally. But on the server it doesn’t. It’s on linode which is what you used in your tutorial video.
Do you have any videos regarding flask ap scheduler? Or can you point me in right direction to get it to work on server?
Tim Please upload video for how to use cudas in tensorflow to improve performance on training a model
This is amazing. I guess if it works with PyArrow too 😮
I just wish the docs were a little clearer about requirements. Nvidia and Cuda drivers, OS, kernel and headers…and cross checking rapids with nvidia Cuda plus other gpu libraries (PyTorch) …still not quite figured it out 😂
Also this is perhaps the second time I’ve seen the tip code percentage calc on UA-cam. Do you think they might make other tutorials code on this library in the future?
Very cool video!! Is there also something similar for AMD GPUs ? 😇
Very good video as always. I tried to play with it, but it failed to install it. I tried also from source code, but find out my personal linux OS has some issues to compile it. I need to figure it out, because wanna to try for results with my big 80 GB dataset ;-)
Compare the performance with Polar please :)
Hello Tech with Tim.
My goal is to become a good ML,AI expert because there are some ideas i have in my mind and I have
learned many things from UA-cam,Google but still I don't have the necessary ML,AI skills to make them.
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Will this have any effect on pandas methods like to_sql?
Everything will work exactly the same and if it can’t be accelerated by the GPU it will fallback to use the CPU
Python which generation language please reply
Polars vs Cudf?
Please can you make a video on changes brought in Django 5.0. It will be very helpful.
faster than polars?
Nah! Polar is still the 🚅🚅
yo !
I need ai api that has no limit to provide it to my tele bot powered by ai
It would probably be correct, if you name this video name to "How To Speed Up Pandas in Python By 150x with GPU"
Yeah won’t work on a vm
You need a nvidia cuda enabled GPU
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Videos like this are always clickbait. By the way, this is only for Nvidia GPUs.