Overview Structured Python learning path that moves from fundamentals (syntax, loops, functions) to real data science tools ...

Mastering Python imports and exception handling can save you hours of debugging and make your code more reliable. From structuring projects to writing resilient import logic, these practices help you ...

A version of the AI coding tool in Anthropic's npm registry included a source map file, which leads to the full proprietary source code. An Anthropic employee accidentally exposed the entire ...

Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...

Excel isn’t just for basic tables — it’s a powerhouse for analysis, automation, and decision-making. From PivotTables and Power Query to Python integration and Monte Carlo simulations, mastering ...

This week, INMA members heard how Kompas Daily and Reuters are using AI tools to improve news investigations and analyse data ...

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

Learn prompt engineering with this practical cheat sheet covering frameworks, techniques, and tips to get more accurate and ...

The Ruby vulnerability is not easy to exploit, but allows an attacker to read sensitive data, start code, and install ...

A well-functioning IFRS 9 framework is controlled, transparent and repeatable, says Theunis Jansen van Rensburg, head of ...

A comprehensive guide to crypto programming in 2026, covering essential languages, smart contract development, DeFi applications ...

Opus 4.7 utilizes an updated tokenizer that improves text processing efficiency, though it can increase the token count of ...