The power of Python trumps Excel workbooks.
Use Python to make your data visualizations stand out.
MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
This project presents a data-driven analysis of the 2026 Tamil Nadu Assembly Election, with comparisons against the 2021 election to understand regional seat redistribution, constituency-level flips, ...
Then any of the five examples below works. Full runnable notebook: examples/readme_examples.ipynb — GitHub renders it inline (DataFrame tables + figures), or open in Jupyter / Colab to re-execute.