Data Science #36

In this issue: a friendly introduction to Principal Component Analysis; how is AI changing the science of prediction?; what can LLMs never do?; drawdata: Draw datasets from within Jupyter; how to create dashboard in Python from PostgreSQL; torch.compile, the missing manual; and more.

The sponsor of this issue is GitNotebooks .

• How is AI changing the science of prediction ?
• What can LLMs never do ?
• From prediction markets to info finance
• [Sponsored] Jupyter Notebook Review Tool for GitHub

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• [Tool] drawdata: Draw datasets from within Jupyter
• [Tutorial] How to create dashboard in Python from PostgreSQL
• torch.compile, the missing manual
• A friendly introduction to Principal Component Analysis
• [Tool] IronCalc : a modern, open-source spreadsheet engine developed in Rust

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