AI coding work is rising fast, but the biggest payoff isn’t evenly shared. A Science analysis suggests seasoned developers get stronger gains than newcomers, which could reshape how you learn, ...

polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...

Gallup poll shows AI use surging at work across industries—boosting productivity but raising risks for vulnerable roles.

How chunked arrays turned a frozen machine into a finished climate model ...

Python library to work with the Systems Biology Graphical Notation (SBGN). This library is based on the SBGN XML schema and supports reading, writing and validation of SBGN files. The initial library ...

Enjoy the latest episodes from MacStories’ family of podcasts: AppStories This week, Federico and John complete their tour of holiday projects with a look at the tools both of them built with the help ...

“The results show extremely rapid diffusion,” explains Frank Neffke, who leads the Transforming Economies group at CSH. “In ...

This new series profiles the members of edie's 30 Under 30 - a nomination-based community of 30 hugely talented young ESG ...

Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news and more, in this week’s report.

In the United States, the share of new code written with AI assistance has skyrocketed from a mere 5% in 2022 to a staggering ...

Left: The share of AI-written Python functions (2019-2024) grows rapidly, but countries differ in their adoption rates. The U ...