important resource
https://www.linkedin.com/posts/hussein-sheikho-4a8187246_a-comprehensive-cheat-sheet-for-working-with-activity-7337103606531186688-Nn0q
https://www.linkedin.com/posts/hussein-sheikho-4a8187246_a-comprehensive-cheat-sheet-for-working-with-activity-7337103606531186688-Nn0q
Linkedin
Polars cheat sheet for data engineers and scientists | Hussein Sheikho posted on the topic | LinkedIn
📖 A comprehensive cheat sheet for working with Polars.
✏️ This cheat sheet explains everything about Polars in a concise and simple way. Not just theory! But also a bunch of real examples, practical experience, and projects that will really help you in the…
✏️ This cheat sheet explains everything about Polars in a concise and simple way. Not just theory! But also a bunch of real examples, practical experience, and projects that will really help you in the…
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✨DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
📝 Summary:
DAComp is a benchmark with 210 tasks for data engineering and analysis workflows. It reveals significant deficiencies in state-of-the-art agents, with success rates under 20% for engineering and below 40% for analysis, highlighting critical gaps.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04324
• PDF: https://arxiv.org/pdf/2512.04324
• Project Page: https://da-comp.github.io/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DataAgents #Benchmarking #DataEngineering #DataAnalysis #AIResearch
📝 Summary:
DAComp is a benchmark with 210 tasks for data engineering and analysis workflows. It reveals significant deficiencies in state-of-the-art agents, with success rates under 20% for engineering and below 40% for analysis, highlighting critical gaps.
🔹 Publication Date: Published on Dec 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04324
• PDF: https://arxiv.org/pdf/2512.04324
• Project Page: https://da-comp.github.io/
==================================
For more data science resources:
✓ https://t.me/DataScienceT
#DataAgents #Benchmarking #DataEngineering #DataAnalysis #AIResearch