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In this video, we’ll learn about map() and reduce() in detail — including their syntax, use cases, and best practices. What’s Covered: 🔹 map() syntax — how it applies a function to each element of a sequence 🔹 reduce() syntax (using from functools import reduce) — how it combines values cumulatively into a single result 🔹End-to-End Example (building on the previous video): 1️⃣ Use filter() to extract even numbers from a list 2️⃣ Use map() to double those numbers 3️⃣ Use reduce() to find the total sum — explained step by step We’ll also look at readability tips, the difference between lambda and named functions, and when to use each tool effectively. By the end of this video, you’ll be able to confidently build a filter → map → reduce pipeline and write clean, efficient, and Pythonic code. Check out our courses: Industry-Ready Java Spring Boot, React & Gen AI -Live: https://go.telusko.com/industry-ready-course Coupon: TELUSKO10 (10% Discount) AI-Powered DevOps with AWS- Live V3: https://go.telusko.com/ai-powered-devops-with-AWS-v3 Coupon: TELUSKO10 (10% Discount) Master Java Spring Development : https://go.telusko.com/masterjava Coupon: TELUSKO20 (20% Discount) For More Queries WhatsApp or Call on : +919008963671 website : https://courses.telusko.com/ Instagram : https://www.instagram.com/navinreddyofficial/ Linkedin : https://in.linkedin.com/in/navinreddy20 WhatsApp : https://go.telusko.com/whatsapp TELUSKO Android App : https://go.telusko.com/TELUSKOAPP TELUSKO IOS App : https://apple.co/3SsgmU2 Discord : https://discord.gg/D8hWe9BqfF
