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Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale

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By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

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Integrating DuckDB & Python: An Analytics Guide

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By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. Its tight integration with Python and R makes it ideal for interactive data analysis. EXCLUDE, REPLACE, and ALL) to simplify query writing.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

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Run the Full DeepSeek-R1-0528 Model Locally

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By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

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5 Fun Python Projects for Absolute Beginners

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Fun Python Projects for Absolute Beginners Bored of theory?

Python 298
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Build a Data Cleaning & Validation Pipeline in Under 50 Lines of Python

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She likes working at the intersection of math, programming, data science, and content creation. Her areas of interest and expertise include DevOps, data science, and natural language processing. She enjoys reading, writing, coding, and coffee!

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Why You Need RAG to Stay Relevant as a Data Scientist

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By Nate Rosidi , KDnuggets Market Trends & SQL Content Specialist on June 11, 2025 in Language Models Image by Author | Canva If you work in a data-related field, you should update yourself regularly. Data scientists use different tools for tasks like data visualization, data modeling, and even warehouse systems.