Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.