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Welcome to Day 12 of Learn Agentic AI from Scratch 🤖🔥 In this session, we explore Sets in Python, a powerful data structure designed for uniqueness, fast lookups, and logical operations—all critical for agentic AI, automation, and backend systems. Sets help you manage distinct values, eliminate duplicates, and perform mathematical-like operations efficiently. 🔑 What You’ll Learn in This Video ✅ What is a set in Python ✅ Creating and using sets ✅ Set properties (unique & unordered) ✅ Adding and removing elements ✅ Set operations (union, intersection, difference) ✅ Real-world use cases of sets ✅ How sets are used in Agentic AI systems 🧠 Why Sets Matter in Agentic AI Sets are commonly used for: Removing duplicate data Tracking unique tasks or actions Permission & access control Comparing agent states Fast membership checks in automation Mastering sets makes your AI logic faster and cleaner. 📌 Coming Next Advanced data structure combinations Real-world data modeling Agent memory & decision systems Automation & AI-driven workflows 👉 Subscribe to continue Agentic AI Mastery 👉 Like if the concept is clear 👉 Comment if you want practice exercises Python Sets Sets in Python Python Data Structures Agentic AI Learn Python from Scratch Python for AI Automation with Python AI Agents Python