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So there are 8 data structures you should know as a programmer, and we’re going to dive into each one, show what they are, and look at real-world use cases, complete with code examples and explanations.

So, why are these data structures you should know? Because they are the most commonly used data structures and form the foundation for efficient algorithm design, problem-solving, and optimizing code performance. 

Data structures are the fundamental building blocks of computer programming. And understanding them is better for you than grinding out overly complex edge-case leetcode problems. Unless you’re trying to pass a FAANG interview. Which if you’re ever in one and don’t know what data structure to use, just throw a HashMap at it and hope for the best. Enjoy the video!

0:00 Data Structures You Need to Know
0:52 Array, because 
4:33 Linked List
6:00 Stack
7:31 Queue
8:30 Hash Table
11:02 Tree
13:22 Heap
14:29 Graph
15:40 If You're Serious about Learning Data Structures
16:33 Learn Your Language's Built-In Data Structures

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Understanding fundamental data structures is crucial for optimizing code performance and problem-solving. This post covers eight essential data structures every programmer should know: arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs. Each structure is explained with its definition, use cases, time complexities, and unique characteristics. It also emphasizes the importance of knowing which data structure to use in different programming scenarios.

8 Data Structures Every Programmer Should Know

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