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@sql_databases · channel · Tech · indexed since 2026-06-17
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Array Data Structure Explained Arrays are one of the most fundamental data structures in programming. In this short video, you’ll learn how arrays store elements in contiguous memory, how indexing works, and why arrays are fast and efficient for data access. 🔹 What is an Array? 🔹 Indexing & Memory Representation 🔹 Real-world visualization 🔹 Arrays vs Python Lists Perfect for beginners, CS students, and interview prep 🚀 Understand the concept clearly with a colorful, professional visual explanation.
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Build with AI: SQL Agents with Large Language Models.zip · 116.3 MB · click to show
🔅 Build with AI: SQL Agents with Large Language Models 📝 Learn how to build an AI SQL agent from scratch using Python and different LLM frameworks. 🌐 Author: Rami Krispin 🔰 Level: Beginner ⏰ Duration: 1h 6m 📋 Topics: Large Language Models, SQL, Artificial Intelligence 🔗 Join Data Science for more courses
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The_Basics_of_Database_Sharding_and_Partitioning_in_System_D · 70.3 MB
💡 The Basics of Database Sharding and Partitioning in System Design 📱 SQL Databases
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Advanced Spatial Data Visualization in Python.zip · 229.0 MB · click to show
🔅 Advanced Spatial Data Visualization in Python 📝 Discover advanced techniques in spatial data visualization with Python. Learn how to create interactive, 3D, and temporal map visualizations to tell more engaging spatial stories. 🌐 Author: Milan Janosov, Ph.D. 🔰 Level: Advanced ⏰ Duration: 1h 39m 📋 Topics: Data Visualization, Spatial Analysis, Spatial Modeling 🔗 Join Data Science for more courses
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SQL vs. NoSQL Explained (in 4 Minutes_.mp4 · 46.4 MB
⏹️ SQL vs. NoSQL Explained (in 4 Minutes) 📱 SQL DATABASES
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🔅 Data Literacy: Exploring and Describing Data 📝 Learn the fundamentals of data fluency and how data can help you make better decisions. 🌐 Author: Barton Poulson 🔰 Level: Beginner ⏰ Duration: 5h 14m 📋 Topics: Data Science 🔗 Join Data Science for more courses
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Data Fluency: Exploring and Describing Data.zip · 719.6 MB · click to show
📱Data Science 📱Data Literacy: Exploring and Describing Data
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⭐️ TOP 18 SQL Interviews Q A💡
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