| 1. | | Writing AI agents in YAML instead of Python (codecut.ai) |
| 5 points by khuyentran1401 4 days ago | past | 1 comment |
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| 2. | | Lazy imports, frozendict, and Tachyon in Python 3.15 (codecut.ai) |
| 2 points by khuyentran1401 20 days ago | past |
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| 3. | | Changelog to README: testing LLM update strategies (codecut.ai) |
| 1 point by khuyentran1401 28 days ago | past |
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| 4. | | Bad examples can override agent skill files (codecut.ai) |
| 3 points by khuyentran1401 37 days ago | past |
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| 5. | | Same prompt, same endpoint, different score (codecut.ai) |
| 1 point by khuyentran1401 40 days ago | past |
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| 6. | | Pixi: One Package Manager for Python and C/C++ Libraries (codecut.ai) |
| 2 points by lululpac 6 months ago | past |
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| 7. | | Essential Itertools for Data Science – CodeCut (codecut.ai) |
| 2 points by rbanffy 8 months ago | past |
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| 8. | | What's New in Pandas 3.0: Expressions, Copy-on-Write, and Faster Strings (codecut.ai) |
| 2 points by rbanffy 9 months ago | past |
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| 9. | | What's New in Pandas 3.0: Expressions, Copy-on-Write, and Faster Strings (codecut.ai) |
| 3 points by Ben5555 9 months ago | past |
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| 10. | | Narwhals: Unified DataFrame Functions for Pandas, Polars, and PySpark – CodeCut (codecut.ai) |
| 3 points by rbanffy 10 months ago | past |
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| 11. | | Pandas vs. Polars vs. DuckDB: A Data Scientist Guide to Choosing the Right Tool (codecut.ai) |
| 3 points by rbanffy 10 months ago | past |
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| 12. | | Faker: Generate Realistic Test Data in Python with One Line of Code – CodeCut (codecut.ai) |
| 2 points by rbanffy on Oct 29, 2025 | past |
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| 13. | | Top Python Libraries for Visualization: Which One to Use? – CodeCut (codecut.ai) |
| 2 points by rbanffy on Sept 30, 2025 | past |
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| 14. | | Langextract vs. SpaCy: AI-Powered vs. Rule-Based Entity Extraction (codecut.ai) |
| 2 points by Ben5554 on Sept 10, 2025 | past |
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| 15. | | Top Python Libraries for Visualization: Which One to Use? – CodeCut (codecut.ai) |
| 2 points by rbanffy on Sept 9, 2025 | past |
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| 16. | | Delta Lake: Transform Pandas Prototypes into Production – CodeCut (codecut.ai) |
| 1 point by rbanffy on Sept 3, 2025 | past |
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| 17. | | Top Python Libraries for Visualization: Which One to Use? (codecut.ai) |
| 3 points by Ben5555 on Sept 3, 2025 | past | 1 comment |
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| 18. | | Delta Lake: Transform Pandas Prototypes into Production (codecut.ai) |
| 2 points by Ben5554 on Aug 26, 2025 | past |
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| 19. | | How to quickly test your code with Pytest (codecut.ai) |
| 2 points by Ben5554 on Aug 19, 2025 | past | 1 comment |
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| 20. | | Transforming PDFs into structured AI data using Docling (codecut.ai) |
| 1 point by Ben5555 on July 8, 2025 | past |
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| 21. | | Narwhals: Unified DataFrame Functions for Pandas, Polars, and PySpark (codecut.ai) |
| 1 point by marcogorelli on May 17, 2025 | past |
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| 22. | | From Python to Paper: Visualizing Calculations with Handcalcs (codecut.ai) |
| 2 points by icar on Sept 11, 2024 | past |
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