In recent months, I’ve noticed a troubling trend with AI coding assistants. After two years of steady improvements, over the ...

Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for ...

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...

Abstract: Large language models (LLMs) have become powerful tools for automated code generation. Yet, they remain prone to both syntax and logic errors that limit their effectiveness in real-world ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

In this text we’ll talk about syntax and semantics, so it’s important that we understand what these terms mean, particularly in the context of computer programming. In a (natural) language course—say ...

Lovable, which is a Vibe coding tool, says Claude 4 has reduced its errors by 25% and made it faster by 40%. On May 22, Anthropic started rolling out two new models: Claude Sonnet 4 and Claude Opus 4.

Abstract: AOP improves modularity and maintainability by centrally managing cross-cutting concerns from the business logic, making development simpler and more efficient. Despite Python’s growing ...