Data structures are the building blocks of algorithms and software. They are used to store, organize, and manipulate data. There are many different types of data structures, each with its own strengths and weaknesses. The most common data structures are arrays, linked lists, queues, stacks, and trees.
Arrays are the simplest data structure. They are used to store a collection of data in a contiguous block of memory. Arrays are fast to access, but they are limited in size and can be difficult to resize.
Linked lists are data structures that store a collection of data in a non-contiguous fashion. Linked lists are easy to insert and delete data, but they are slower to access than arrays.
Queues are data structures that store a collection of data in a first-in-first-out (FIFO) fashion. Queues are used to store data that needs to be processed in a specific order. Stacks are data structures that store a collection of data in a last-in-first-out (LIFO) fashion. Stacks are used to store data that needs to be processed in a reverse order.
Trees are data structures that store a collection of data in a hierarchical fashion. Trees are used to store data that has a natural hierarchy, such as a family tree. Trees are also used to store data that needs to be searched, such as a dictionary.