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

Attackers exploited Langflow vulnerability CVE-2025-3248 to conduct an agentic AI-powered ransomware attack involving reconnaissance, credential theft, and lateral movement.

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

Enzymes are regarded as the key to sustainable chemistry. Despite major advances in protein design, creating artificial enzymes from scratch has so far remained a grand challenge. A research team at ...

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 Runpod, the high-performance cloud computing and GPU platform designed specifically for AI development, today launched a new open source, MIT ...

Andrej Karpathy created microGPT, a minimal GPT using only 243 lines of Python code. The project simplifies LLM architecture to basic mathematical operations without external libraries. Karpathy's ...

Durable Functions is an extension of Azure Functions that lets you write stateful functions in a serverless compute environment. The extension lets you define stateful workflows by writing ...

Bython offers an alternative Python syntax using braces to define code blocks, appealing to C++ or Java developers. Eliminate indentation errors with Bython; it allows mixed tabs and spaces without ...

The firebase-functions package provides an SDK for defining Cloud Functions for Firebase in Python. Cloud Functions provides hosted, private, and scalable environment where you can run server code.

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...