How do you add agent skills to your data science workflow? How can a coding agent assist with data wrangling and research? This week on the show, Trevor Manz from marimo joins us to discuss marimo pair.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Configuring a Versatile LLM Harness & Scraping the Web With Scrapy | 0 | 8.36 | 24-07-2026 |
| 2 | Agentic Architecture: Why Files Aren't Always Enough | 0 | 9.41 | 15-05-2026 |
| 3 | Reassessing the LLM Landscape & Summoning Ghosts | 0 | 11.52 | 17-04-2026 |
| 4 | Constructing and Judging Modern Agentic Workflows | 0 | 7.62 | 10-07-2026 |
| 5 | Maintaining Your Python Developer Instincts While Using LLM Tools | 0 | 5.88 | 26-06-2026 |
| 6 | Moving Towards Spec-Driven Development | 0 | 12.63 | 19-12-2025 |
| 7 | Should You Understand Your Entire Python Codebase? | 0 | 8 | 31-07-2026 |
| 8 | Managing Polars Schema Issues & Profiling GitHub Users | 0 | 6.85 | 22-05-2026 |
| 9 | Reducing the Size of Python Docker Containers | 0 | 6.54 | 05-06-2026 |
| 10 | Declarative Charts in Python & Discerning Iterators vs Iterables | 0 | 7.94 | 08-05-2026 |