How do you avoid the bottlenecks of data processing systems? Is it possible to build tools that decouple storage and computation? This week on the show, creator of the pandas library Wes McKinney is here to discuss Apache Arrow, composable data systems, and community collaboration.

The RPython blog offers insights, tutorials, and updates on RPython, a subset of the Python programming language designed for writing interpreters and virtual machines. Developers can learn about RPython features, optimization techniques, and applications in building programming language implementations. Additionally, the blog covers topics such as JIT compilation, garbage collection, and static analysis using RPython, providing resources for compiler and language developers.

Real Python

Learn how to avoid bottlenecks in data processing systems, understand the benefits of Apache Arrow, and discover how Ibis creates a portable query layer.

Episode #193: Wes McKinney on Improving the Data Stack & Composable Systems – The Real Python Podcast