Understanding Data Structures
Data structures are containers that organize and store data. Understanding data structures is crucial for writing efficient and effective code. Let's jump into some basic types!
- Arrays 🗃️: A collection of items stored at contiguous memory locations.
- Linked Lists 🔗: A sequence of nodes where each node points to the next.
- Stacks 📚: A collection of elements with Last In First Out (LIFO) access pattern.
- Queues 🎫: A collection of elements with First In First Out (FIFO) access pattern.
- Trees 🌳: A hierarchical structure with a root and child nodes.
- Graphs 🗺️: A set of nodes connected by edges.
- Hash Tables 🔑: A collection of key/value pairs with efficient lookup.
Each of these structures has its own purpose and can optimize the performance of specific algorithms. Dive deeper into each topic by selecting from our navigation menu!