Run Pandas Library 50x Time Faster on Google Colab Using Rapids cuDF - Krish Naik Hindi

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. Check the links https://nvda.ws/4bzUJHF New Colab link: https://nvda.ws/3UY30zK Code Link: https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_colab_demo.ipynb