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Welcome to BlazingSQL Notebooks!

BlazingSQL Notebooks is a fully managed, high-performance JupyterLab environment.

No setup required. You just login and start writing code, immediately.

Every environment has:

Below, we have listed a series of notebooks that demonstrate the utility of an open-source GPU powered Jupyter environment. Through the pre-installed packages you can execute familiar Python code on high-performance GPUs.

Notebook Title Description Try Now
Welcome Notebook An introduction to BlazingSQL Notebooks and the GPU Data Science Ecosystem. Launch on BlazingSQL Notebooks
The DataFrame Learn how to use BlazingSQL and cuDF to create GPU DataFrames with SQL and Pandas-like APIs. Launch on BlazingSQL Notebooks
Data Visualization Plug in your favorite Python visualization packages, or use GPU accelerated visualization tools to render millions of rows in a flash. Launch on BlazingSQL Notebooks
Machine Learning Learn about cuML, mirrored after the Scikit-Learn API, it offers GPU accelerated machine learning on GPU DataFrames. Launch on BlazingSQL Notebooks