An array is a collection of items stored at contiguous memory locations. It is a data structure that stores a fixed-size sequential collection of elements of the same type. An array is used to store a collection of data, but it is often more useful to think of an array as a collection of variables of the same type.
Data structures are used to represent data in a meaningful way. They provide a way to store and organize data in memory. This section covers the different types of data structures and their applications.
Data Structures and Algorithms are the building blocks of computer science. They are the tools you'll use to build software systems. This section is a collection of resources to help you understand and master Data Structures and Algorithms.
Understanding the differences between recursion and iteration is crucial for selecting the appropriate approach for solving various problems in data structures and algorithms. This guide highlights the key differences, advantages, and use cases of both recursion and iteration.
Heaps are a type of binary tree-based data structure commonly used in computer science. They are often used to implement priority queues, where elements with higher priority are dequeued first. Heaps have two main variations: max heaps, where the parent node is always greater than or equal to its children, and min heaps, where the parent node is always less than or equal to its children. Heaps have efficient insertion and deletion operations, making them suitable for applications that require efficient priority-based processing.
A collection of easy, medium, and hard LinkedList problems from LeetCode to help you practice and master LinkedList concepts in Data Structures and Algorithms.
A linked list is a linear data structure in which elements are not stored in contiguous memory locations. Instead, each element, called a node, contains a data part and a reference (or link) to the next node in the sequence. Linked lists are used in various applications such as dynamic memory allocation, implementation of data structures like stacks and queues, and more.
Master Theorem for solving divide and conquer recurrences. Explained with examples.
A matrix is a two-dimensional data structure consisting of rows and columns, where each element is identified by its row and column index. It is commonly used in various fields, including mathematics, computer science, and data analysis, to represent and manipulate structured data.
A matrix is a two-dimensional data structure consisting of rows and columns, where each element is identified by its row and column index. It is commonly used in various fields, including mathematics, computer science, and data analysis, to represent and manipulate structured data.
A queue is a linear data structure that follows the First In First Out (FIFO) principle. This means that the first element added to the queue will be the first one to be removed. Queues are used in various applications such as process scheduling, breadth-first search, and more.
A collection of 20 Leetcode questions focused on recursion, categorized into easy, medium, and hard levels.
Stack is a linear data structure that follows LIFO principle
A string is a sequence of characters. It is a data structure that represents a sequence of characters, either as a literal constant or as some kind of variable. In data structures and algorithms, strings are used in a wide range of applications such as text processing, pattern matching, and data serialization.