What Are Data Structures?

 

Data structures are specialized formats for organizing, managing, and storing data in a computer so that it can be efficiently accessed, modified, and manipulated.

 They are essential components of programming and software development.

Common data structures include:

1. Arrays: Collections of elements of the same data type stored in contiguous memory locations.

2. Linked Lists: Dynamic collections of elements, each pointing to the next element.

3. Stacks: Last-In-First-Out (LIFO) data structures, where elements are added and removed from the top.

4. Queues: First-In-First-Out (FIFO) data structures, where elements are added to the end and removed from the front.

5. Trees: Hierarchical data structures, with nodes having child nodes and parent nodes.

6. Graphs: Non-linear data structures, consisting of nodes and edges.

7. Hash Tables: Key-value data structures, allowing for efficient lookups and insertions.

8. Heaps: Specialized tree-based data structures, satisfying the heap property.

9. Tree (Prefix Tree): A tree-like data structure, often used for string searches and autocomplete.

10. Set: Unordered collections of unique elements.

11. Map (Dictionary): Key-value data structures, allowing for efficient lookups and insertions.

Data structures provide efficient ways to:

1. Store and retrieve data

2. Perform operations (e.g., sorting, searching)

3. Manage memory

4. Optimize performance

Note: Understanding data structures is crucial for any programming language and is essential for software development, algorithms, and computer science.🏂

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