data-structures

Data Structures 🕸

Objective

1. Singly Linked Lists
2. Doubly Linked Lists
3. Stacks
4. Queues
5. Binary Search Tree
6. Tree Traversal
7. Binary Heaps
8. Hash Tables
9. Graphs
10. Graph Traversal
11. Dijkstra's Algorithm

What do they do

• Data structures are collections of values, the relationships among them, and the functions or operations that can be applied to the data.

Why?

• Different data structures excel at different things. Some are highly specialized, while others (like arrays) are more generally used.
• The more time you spend as a developer, the more likely you'll need to use one of these data structures
• There is no one "BEST" data structure. They all excel in different situations.

Examples

[ ] Please add images later...

• Working with map/location data? Use a graph!
• Need an ordered list with fast inserts/removals at the beginning and end? Use a linked list!
• Web scraping nested HTML? Use a tree!
• Need to write a scheduler? Use a binary heap!

Notes

Don't get overwhelmed trying to master it all at once.

• You need at least two weeks, 8 - 10 hours per day to study.
• You just need to know a bit of ES6 syntax to follow the examples. Check out Introduction folder.