The Titanic dataset is the classic first project in data science. Using Python, Pandas, and Seaborn, this walkthrough shows how gender, passenger class, and family size shaped who survived, and what that teaches developers about reading data.
WordPress 7.0 real-time collaboration has been pulled from the release. Matt Mullenweg cited race conditions, memory use, and bugs found in fuzz testing. Here is why holding it back was the safer technical call.
Most AI agent projects fail because of weak evaluation, not weak models. These are the 12 metrics I run against every response, grouped into retrieval, generation, agent behavior, and production health, with PHP and Python examples.
WordPress 7.0 development lost real-time collaboration this month over race conditions and load concerns. What’s left for the May 20 release: a native content types system, the @wordpress/grid package, and HEIC and per-block CSS fixes.
Most rotateY() flip cards don’t actually flip, they just shrink and grow. Here’s how perspective, transform-style, and a proper 3D stage give you flip cards and carousels with real depth instead of a squashed 2D look.
The rotateX() CSS function adds real 3D depth, but only when the parent has a perspective value. This covers the syntax, the perspective gotcha that flattens your rotation, and examples like 3D flip cards and unfolding accordions.
A walk through the CSS rotate function: the syntax and angle units, why transform-origin trips people up, independent transform properties, and how to stop rotations from jittering on the main thread.
CSS rotateZ looks like the 2D rotate() but runs differently: it can push rendering onto the GPU and keep animations off the main thread. Covers the performance difference, isometric layouts, and the angle units worth knowing.
Price hikes often get blamed for churn that is really about a finished project. This covers flagging project milestones in WooCommerce Subscriptions and using DiD and Shapley values to tell a price shock apart from value exhaustion.
PDFs are where automation goes to die. I built the same B2B document extraction pipeline twice, first with regex and then with a local LLaMA 3 model. This is where each approach wins, where it breaks, and when the extra cost is worth it.