We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

Automation that actually understands your homelab.

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

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 ...

According to @bcherny, developers can run /config in Claude Code to set output styles that change the assistant’s tone and format for coding tasks, including an explanatory style for understanding ...

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

When the creator of the world's most advanced coding agent speaks, Silicon Valley doesn't just listen — it takes notes. "If you're not reading the Claude Code best practices straight from its creator, ...

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...

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 ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...