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

KDnuggets

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 24, 2025 in Python Image by Author | Ideogram Data is messy. The key is having a reliable, reusable system that handles the mundane tasks so you can focus on extracting insights from clean data. Happy data cleaning!

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Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

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By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on July 8, 2025 in Data Science Image by Author | Ideogram You know that feeling when you have data scattered across different formats and sources, and you need to make sense of it all? Here, were loading our clean data into a proper SQLite database.

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Automatically Build AI Workflows with Magical AI

KDnuggets

By Josep Ferrer , KDnuggets AI Content Specialist on June 16, 2025 in Artificial Intelligence Image by Author Tired of repetitive tasks and constant copy-pasting between apps? Here’s what makes it stand out: Agentic AI: Move and clean data between apps automatically, date formats, text extraction, and formatting handled for you.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. AI drives the demand for data integrity.

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Context Engineering is the New Vibe Coding

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Prompt engineering walked so context engineering could run pic.twitter.com/TBpeccaM5q — Andrew Reed (@andrewrreed) June 23, 2025 From Prompts to Context Prompt engineering gave us the early magic of ChatGPT — coaxing the model into doing our bidding with clever phrasings. But as applications get complex, that approach hits a wall.

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How to Learn Math for Data Science: A Roadmap for Beginners

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By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 12, 2025 in Data Science Image by Author | Ideogram You dont need a rigorous math or computer science degree to get into data science. Learn what math concepts to learn, in what order, and how to use them in practice.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. AI drives the demand for data integrity.