Wes McKinney on Improving the Data Stack & Composable Systems

23/02/2024 1h 9min Episodio 193

Listen "Wes McKinney on Improving the Data Stack & Composable Systems"

Descargar episodio Ver en sitio original

Episode Synopsis

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.

More episodes of the podcast The Real Python Podcast

Navigating Silent Failures in AI: Strategies for Effective Oversight 21/08/2026

Improving NumPy Performance on Free-Threaded Python 14/08/2026

Programmatically Developing LLM Prompts With DSPy 07/08/2026

Should You Understand Your Entire Python Codebase? 31/07/2026

Configuring a Versatile LLM Harness & Scraping the Web With Scrapy 24/07/2026

Free-Threaded Python's History & uv in Production 17/07/2026

Constructing and Judging Modern Agentic Workflows 10/07/2026

Running Python Locally in a Sandbox 03/07/2026

Maintaining Your Python Developer Instincts While Using LLM Tools 26/06/2026

EuroPython 2026: Celebrating 25 Years 12/06/2026

Ver todos los episodios

Latest episodes