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Explore 25+ Algorithms Simply Explained in 40 Minutes. with 64,116 views, 2,384 likes, and 41 comments. Experience the impact of this video content that has captured audience attention.

👉 Click this link https://boot.dev/?promo=CODIST and use my code CODIST to get 25% off your first payment for boot.dev. ▶️ Watch Next : Every Data Structure : https://youtu.be/vVL6NFzr0Rg API vs MCP vs A2A : https://youtu.be/pcEovm0v4pc Most algorithm videos hand you a list of definitions. This one shows you how each technique grows out of the limitation of the one before it, so the whole subject finally connects. ⏱️ Timestamps 00:00 — Search Algorithms 02:20 — Sorting Algorithms 04:49 — Two Pointers 06:43 — Sliding Window 09:00 — Ad 10:56 — Recursion 14:27 — Backtracking 18:00 — Hashing Algorithms 20:20 — Dynamic Programming 23:12 — Graph Algorithms 25:53 — Greedy Algorithms 27:55 — String Matching Algorithms 29:54 — Huffman Coding 31:28 — Bit Manipulation 32:28 — Machine Learning Algorithms 37:29 — Database Algorithms 📌 WHAT YOU'LL LEARN ───────────────────────────── 1. Why O(log n) means the size of your data stops mattering 2. The real difference between O(n²) sorts and divide-and-conquer sorts 3. How two pointers and sliding windows collapse quadratic work into linear 4. The three rules every correct recursive function needs 5. Why pruning — not recursion — is where backtracking gets its speed 6. How hash collisions are handled (chaining vs open addressing) 7. Memoization vs tabulation, and how to define the right DP state 8. When a greedy choice is provably safe (the exchange argument) 9. What your database is actually doing behind a simple SQL query #algorithm #algorithms #coding #systemdesign #api #datastructures #datascience #python #programming #codinginterview #codingtutorial #deeptech #machinelearning #computerscience

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