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Data Structures & Basics 📊:
– Get to know the fundamentals of data structures.
– Understand stacks, queues, and binary search trees.

Problem Solving & Optimization 🎯:
– Learn the art of computational problem-solving.
– Master pattern matching and optimization techniques.

Hashing & Graph Theory 🗺️:
– Explore the power of hashing and its real-world applications.
– Navigate the world of graphs—undirected, directed, and how to traverse them.

Shortest Paths & Spanning Trees 🌍:
– Unlock the secrets of algorithms like Dijkstra and Bellman-Ford.
– Explore minimum spanning trees with Prim and Kruskal’s algorithms.

Graph Algorithms & Searching Techniques 🔍:
– Learn about BFS and DFS, fundamental graph-related algorithms.
– Demystify sorting methods that work efficiently in linear time.

Divide and Conquer, Backtracking & More 🧩:
– Embrace Divide and Conquer techniques for effective problem-solving.
– Discover the magic behind backtracking and dynamic programming.

String Searching & Greedy Algorithms 🧵:
– Master algorithms like Knuth-Morris-Pratt, Boyer-Moore, and Rabin-Karp for string manipulation.
– Explore the efficiency and simplicity of greedy algorithms.

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