I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Overview: NLP is widely used in sentiment analysis, chatbots, and content classification.Data scientists combine NLP with ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Super VC Marc Andreessen talks with Blake Masters and Amjad Masad, CEO and co-founder of Replit, a cloud-based coding ...

This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

The Python Software Foundation has rejected a $1.5 million government grant because of anti-DEI requirements imposed by the ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

But CoreWeave, with investor and partner Nvidia, has now transitioned to serving AI workloads. From its IPO until now, its ...

Here are my 10 predictions for how the role and shape of data organizations will evolve in the AI-first enterprise.

Microsoft announced the stable release of Azure Cosmos DB Python SDK 4.14.0, adding AI-driven document reranking, optimized batch reads, and automatic write retries developed in collaboration with ...

The open-source AI model improves transparency in predicting how proteins interact with other molecules, which could speed up drug discovery.

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work ...