Python’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

Debugging in Python can transform from a dreaded task into a powerful way to understand and improve your code. With tools like PyCharm’s visual debugger, pdb’s command-line control, and structured ...

Industrial R&D teams sit on a goldmine of testing and operational data. But until now, unlocking that data required costly, ...

Shopify’s custom tool-calling agent, which serves the Sidekick commerce assistant, also operates 2.2 times faster.

The capacity to confirm whether a prose is written by a human, generated by a machine, or is a mixture of both has become vital due to the diversity in policies on the use of AI across institutions.

In this hands-on session, we’ll build a PRD-to-Test-Case Generator using RAG (Retrieval-Augmented Generation) and AI agents.