In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...

In the Big Data era, data is not only becoming bigger and bigger; it is also becoming more and more complex. This translates into a spectacular increase of the dimensionality of the data. For example, ...

Some AI agent calling itself "crabby-rathbun" opened a PR to matplotlib claiming a performance optimization. The change? Replace `np.column_stack()` with `np.vstack().T`. The claimed speedup? **36% ...

What started as a routine pull request on a popular Python project turned into something closer to an AI-fueled grudge post. After a volunteer reviewer shut down an automated code submission, the bot ...