These are my go-to libraries for Python data crunching.

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

Plotly creates interactive data visualizations, dashboards, and analytics graphics for Python, web apps, notebooks, and reporting workflows. Plotly creates interactive data visualizations, dashboards, ...

Abstract: Generating discriminative node representations for heterogeneous graphs based on contrastive learning with graph neural networks has become an important topic in data mining. Many existing ...

Anthropic has launched a new beta feature for Claude that allows the chatbot to generate interactive visuals, charts, and diagrams directly in chats. These visuals are built in real-time using HTML ...

On Tuesday, OpenAI introduced dynamic visual explanations, a new ChatGPT feature that allows users to see how formulas, variables, and mathematical relationships change in real time. Instead of just ...

In Python's data visualization library, Matplotlib, the line graph is the most fundamental and frequently used tool. By not just connecting numbers with lines, but also appropriately decorating line ...

What if your static PDFs could do more than just sit on a screen, waiting to be scrolled through? Imagine transforming a dense research paper or a static business report into an interactive app that ...

Visualize and explore complex data structures — right from your terminal. Cosmo is a fast, interactive graph visualizer that makes graphs and trees easy to understand, beautifully arranged, and fully ...