Boost pandas Performance by Up to 50x with RAPIDS cuDF on Google Colab with Live Demo

At Google I/O’24, Laurence Moroney, head of AI Advocacy at Google, announced that RAPIDS cuDF is now integrated into Google Colab.
Developers can now instantly accelerate pandas code up to 50x on Google Colab GPU instances, and continue using pandas as data grows-without sacrificing performance.
RAPIDS cuDF is a GPU DataFrame library that accelerates the data processing tool pandas with zero code changes. Google Colab is one of the most popular platforms for Python-based data science that has become a standard tool with more than 10 million monthly users.
A cloud-hosted platform, Colab provides an out-of-the-box data science notebook environment that’s accessible from your browser. Its easy-to-use infrastructure includes GPUs across free and paid tiers.
Code : github.com/arshad831/Communit...
✉️ Newsletter: Subscribe Here decodingdatascience.com/
Dive into discussions on learning, coding, and ways to enhance your
professional journey.
📲 Social Media:
Instagram: decodingdatascience
LinkedIn: linkedin.com/in/mdarshad
Discord: dsc.gg/artificialintelligence
🎥 Recommended Videos:
Studying Consistently with a Full-Time Job: Watch
Restarting Coding Learning: Watch
🐈‍⬛ About Me:
Hi, I'm Mohammad, 19+ years of Experience as a Data Scientist now sharing my journey and insights on the internet!
📧 Contact:
Best way to reach me: TH-cam comments
LinkedIn: Message
Business inquiries: Email
#jobs #decodingdatascience #aiarshad

[@safniusman]

Very useful info! Thank you for the great video..

[@decodingdatascience]

nas.io/AIguild/events/git-github

[@maryrosedelrosario6084]

This is great!

[@decodingdatascience]

Thanks

[@decodingdatascience]

Get the code her e, do start the repo github.com/arshad831/Community_Workshops-/blob/main/DDS_cudf_pandas_colab_demo.ipynb