On Tuesday, Google released Gemini 3, its latest and most advanced foundation model, which is now immediately available through the Gemini app and AI search interface. Coming just seven months after ...

NOTE: This article was published yesterday (30/10/2025), but due to some technical issues it went offline. Microsoft has officially added Python 3.14 to Azure App Service for Linux. Developers can now ...

Checking out CPython 3.14’s remote debugging protocol A hands-on session with one of Python 3.14’s less-sung but still powerful features: the ability to attach a debugger to a running Python program.

Community driven content discussing all aspects of software development from DevOps to design patterns. SQLite is an incredibly lightweight and remarkably popular SQL-compliant database. In fact, it’s ...

Python is widely used for apps, automation, and web development. Before running scripts, it’s important to confirm which version is installed on your Windows PC. This usually means Python is not added ...

Learning Python often begins with a simple yet powerful exercise: printing “Hello, World!” to the screen. This one-liner doesn’t just display text—it’s your first step toward mastering Python ...

The latest annual Python Developers Survey, born from a collaboration between the Python Software Foundation and JetBrains, took the pulse of over 30,000 developers to see what makes the community ...

Google’s Big Sleep Foils Hackers by Spotting SQLite Flaw Before Exploit Your email has been sent Google’s Big Sleep AI agentic system spotted a zero-day SQLite bug after threat signals emerged, ...

Google refused to share any details on how its Big Sleep AI foiled efforts to exploit a SQLite vulnerability in the wild. Google says its Big Sleep AI agent recently discovered a critical SQLite ...

Google on Tuesday revealed that its large language model (LLM)-assisted vulnerability discovery framework identified a security flaw in the SQLite open-source database engine before it could have been ...

cursor.executemany("INSERT INTO sales (product, quantity, price, region, date) VALUES (?, ?, ?, ?, ?)", sample_data) ...