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 ...

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 ...

Learning Python can feel like a big task, but with the freeCodeCamp Python curriculum, it gets a lot easier. I remember when I first tried to learn Python, I bounced between tutorials, books, and ...

Python is one of the most popular programming languages in the world today, with millions of developers using it for web development, data science, machine learning, automation, and more. If you’ve ...

Hello Pythonistas, if you have started from here, you might not yet understand Python programs. For this, you need to understand the Python syntax. It’s like the grammar of Python. After reading this, ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

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.

Some syntax errors are not reported correctly and end up yielding incomplete information. There are two similar but differently presenting cases, expectation/actual incongruities are noted below each ...

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 ...