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Python

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Skill Python Artifacts — on by default; manage it under Skills
Tool calls you’ll see create_python_document
Sharing A public link shows the rendered view only

Data analysis, statistics, simulations, plots and algorithm demonstrations. The script runs entirely in your browser — nothing is sent to a server — with the usual scientific libraries available (numpy, pandas, matplotlib, sympy and others). Because it runs in the browser, it can’t reach the network, read files from your computer or touch the operating system.

The panel shows the code and an output pane. Press Run to execute; printed output and charts appear below. The first run may take a moment while the Python runtime loads.

The source is read-only in the panel. To change the script, ask the assistant (“use a log scale”, “add a column for the median”) and it updates the same artifact.

If you publish a Python artifact, visitors see the output, not the code.

  • “Analyse this CSV and plot the monthly trend.”
  • “Simulate 10,000 dice rolls and chart the distribution.”
  • “Solve this integral with sympy and show the steps.”