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A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc & bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at 100,000 pts/ms afterwards.

uv is a fast Python package installer and resolver. To get started:

You can read the book PDF (95Mo, preferred site) that is open access and hosted on HAL which is a French open archive for academics. Up to date version is also available on GitHub here. com/rougier/scientific-visualization-book.

Latex code for drawing neural networks for reports and presentation. Have a look into examples to see how they are made. Additionally, lets consolidate any improvements that you make and fix any bugs to help more people with this code.

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics and affords high-performance interactivity across large or streaming datasets.

Using Dear PyGui is as simple as the following Python script.

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely