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Arrays and Strings:
 Understanding arrays, strings, and their operations.
 Working with multidimensional arrays.

Linked Lists:
 Singly linked lists, doubly linked lists, and circular linked lists.
 Basic operations (insertion, deletion, traversal).

Stacks and Queues:
 Implementing stacks and queues using arrays and linked lists.
 Operations like push, pop, enqueue, and dequeue.

Trees and Binary Trees:
 Understanding different types of trees (binary trees, binary search trees, AVL trees, etc.).
 Traversing algorithms (inorder, preorder, postorder).
 Tree balancing techniques.

Graphs:
 Understanding graph representation (adjacency matrix, adjacency list).
 Basic graph algorithms (BFS, DFS).
 Shortest path algorithms (Dijkstra's, BellmanFord).

Sorting and Searching:
 Common sorting algorithms (e.g., Bubble Sort, Selection Sort, Merge Sort, Quick Sort).
 Binary search and its variations.

Hashing:
 Understanding hash functions and collision resolution techniques.
 Working with hash maps.

Dynamic Programming:
 Solving problems using bottomup and topdown approaches.
 Understanding memoization and tabulation.

Recursion:
 Understanding recursive functions and solving problems recursively.

Greedy Algorithms:
 Understanding the greedy approach and its application in solving optimization problems.

Bit Manipulation:
 Working with bitwise operations.
 Solving problems related to bitwise manipulation.

Complexity Analysis (Big O Notation):
 Analyzing the time and space complexity of algorithms.

Space and Time Tradeoffs:
 Understanding when to optimize for space or time, depending on the problem.

Problem Solving Skills:
 Practicing coding problems on platforms like LeetCode, HackerRank, and GeeksforGeeks.