A <a target="_blank" href="https://www.almabetter.com/bytes/cheat-sheet/dsa">DSA cheat sheet</a> covers essential concepts for efficient coding:
<ul>
<li>Arrays: Fixed-size, indexed collection; fast access.
</li>
<li>Linked Lists: Elements linked via pointers; dynamic size.
</li>
<li>Stacks: LIFO structure; use push and pop operations.
</li>
<li>Queues: FIFO structure; use enqueue and dequeue operations.
</li>
<li>Trees: Hierarchical data; binary trees, AVL, and B-trees.
</li>
<li>Graphs: Nodes connected by edges; use adjacency lists/matrices.
</li>
<li>Sorting Algorithms: Bubble, Merge, Quick, Insertion Sort.
</li>
<li>Searching Algorithms: Linear and Binary Search.
</li>
<li>Hashing: Key-value mapping; use hash functions.
</li>
<li>Complexity: Big O notation for time and space efficiency.
</li>
</ul>
This foundational knowledge aids in problem-solving and coding efficiency.

A [DSA cheat sheet](https://www.almabetter.com/bytes/cheat-sheet/dsa) covers essential concepts for efficient coding:

* **Arrays**: Fixed-size, indexed collection; fast access.
    
* **Linked Lists**: Elements linked via pointers; dynamic size.
    
* **Stacks**: LIFO structure; use push and pop operations.
    
* **Queues**: FIFO structure; use enqueue and dequeue operations.
    
* **Trees**: Hierarchical data; binary trees, AVL, and B-trees.
    
* **Graphs**: Nodes connected by edges; use adjacency lists/matrices.
    
* **Sorting Algorithms**: Bubble, Merge, Quick, Insertion Sort.
    
* **Searching Algorithms**: Linear and Binary Search.
    
* **Hashing**: Key-value mapping; use hash functions.
    
* **Complexity**: Big O notation for time and space efficiency.
    

This foundational knowledge aids in problem-solving and coding efficiency.

Introduction to DSA