This article introduces the optimization of deferred execution in version 0.2.0 from a technical perspective.

After the release of Xorbits, we received several bug reports and user suggestions. We highly value user feedback, and therefore, the new version mainly focuses on improving the user experience.

Explore one of the most classic dataset using Xorbits, gain a better understanding of the capabilities of Xorbits, its ease-of-use, and how it can be integrated with other Python libraries to streamline your data analysis workflow.

Xorbits aims to be as user-friendly, intuitive, and efficient as possible for deployment and execution.

This series of blog posts will explain why Xorbits is better and how it works. The initial post will provide an overview of designs and internals of Xorbits, to help you quickly understand Xorbits.

We are excited to announce our new project, Xorbits, a scalable data science framework that aims to scale the entire Python data science world.