In this video I introduce the latest version of CUDF that offers up to 150x speed improvements in Pandas, with no code changes, using a GPU. You can now do this directly in CoLab, without additional install: https://developer.nvidia.com/blog/rapids-cudf-instantly-accelerates-pandas-up-to-50x-on-google-colab/?ncid=ref-inor-177218 NVIDIA Demo: https://colab.research.google.com/github/rapidsai-community/showcase/blob/main/getting_started_tutorials/cudf_pandas_stocks_demo.ipynb ~~~~~~~~~~~~~~~ LINKS ~~~~~~~~~~~~~~~ Colab Notebook Link: https://nvda.ws/3ZPmfMy AI & Data Science Virtual Summit: https://nvda.ws/46Kscwq ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: null ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #pandas #cudf #cuda #nvidia #rapids #machinelearning