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What is Data Science @ O'reilly

_Data scientists combine entrepreneurship with patience, the willingness to build data products incrementally, the ability to explore, and the ability to iterate over a solution. They are inherently interdisciplinary. They can tackle all aspects of a problem, from initial data collection and data conditioning to drawing conclusions. They can think outside the box to come up with new ways to view the problem, or to work with very broadly defined problems: “here’s a lot of data, what can you make from it?”_

Gov Environment

EPA air quality data and HUD foreclosure listings. 2 tools for environmental and housing intelligence.

Stock Quote

Fetch real-time stock prices and fundamental data. Use when: (1) User asks for current stock price or quote, (2) Need to update portfolio holdings with lates...

Multi-viewpoint Debates

Spawn isolated sub-agents representing distinct worldviews (Elon, Capitalist, Monkey) to debate decisions from multiple angles. Expose blind spots by forcing genuine disagreement on important questions. Use when facing decisions where you need to challenge your assumptions, stress-test ideas, or see a problem through fundamentally different lenses. Automatically captures debate outputs to an archive for future reference and pattern analysis.

Parenting Psychology

Emotional and developmental parenting guidance for ages 0-18. Use when someone is struggling with child behavior, needs age-appropriate expectations, wants d...