Knowing the essentials and existing data structures guarantees an effective use of these concepts and is the primary point to keeping the DSA Roadmap for Beginners to Experts. Organizing the data provides you with convenient tools that may help you structure the data according to your needs. Here are a few types of data structures that you must know in this DSA roadmap:
Array: A set of memory consisting of consecutive addresses accessible through the index.
String: A string is an array of characters or a row of text.
Linked List: A linked list is a linear data structure in which each element has a pointer to the next element, matching the dynamic array in memory management.
Tree Data Structures: It is a tree-like data structure which has connected nodes and edges, a single parent node at the top, and children’s nodes present below the parent node at the tree. The main kinds of trees are: binary trees, AVL trees, and B-trees.
Graph Data Structure: It is an extended kind of list and is capable of connecting a node into a set of edges and demonstrating the interdependent relations between the nodes.
Stack: Stack is a data structure that functions under the Last-In-First-Out (LIFO) property, which implies that the elements joining the structure are the first to be deleted.
Queue: A queue is a type of data structure in which elements are stored in a list. The former is added at one end while the latter is removed from the other, which is the front end. Some of the well-known variants out there are double-ended queues, circular queues, and priority queues.
HashTable: HashMap and HashSet: It is a data structure with a key-value pair of each member, with the values retrieved according to the keys. Here data items can be quickly searched, inserted, or deleted according to the key
