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, ...

Better Stack examines how the open source plugin Understand-Anything simplifies navigating complex codebases by turning repositories into interactive, queryable knowledge graphs. Combining static code ...

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 ...

Abstract: Knowledge graphs have been commonly used to represent relationships between entities and are utilized in the industry to enhance service qualities. As knowledge graphs integrate data from a ...

But there’s another dimension to the picture. Some workers will find it easier to adapt, the researchers argue, based on factors like their savings, age and transferrable skills. Most web designers ...

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 ...