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Java With Data Structure

Java With Data Structure

Java is a high-level, object-oriented programming language known for its platform independence, which means that Java programs can run on different operating systems without modification. It was developed by Sun Microsystems (now owned by Oracle) and is widely used in various domains, including web development, mobile app development, enterprise software, and more. Java's key features include strong typing, automatic memory management (through garbage collection), and a rich set of libraries and frameworks.

When you combine Java with data structures, you leverage the language's capabilities to implement and work with these data structures effectively. For example, you can create custom classes and objects to represent data structures and implement algorithms for tasks such as searching, sorting, and data manipulation. Java provides a rich set of built-in data structures in its standard library (e.g., ArrayList, LinkedList, HashSet, HashMap), making it a popular choice for implementing various data-driven applications and algorithms. Learning how to use data structures in Java is essential for building efficient and scalable software solutions.

Course Overview

Time complexity measures the amount of time an algorithm takes to complete in relation to the size of its input data.
  • Big O notation (O)
  • Theta notation (Θ)
  • Omega notation (Ω)
In Java, an array is a fundamental data structure used to store and manage a collection of elements of the same data type. It provides a way to group related values together under a single variable name, making it easier to work with multiple data items of the same type.
  • Introduction To Array
  • One Dimensional Primitive Array
  • One Dimensional Non-primitive
  • Multidimensional Primitive Array
  • Multidimensional Non-primitive Array
A linked list is a fundamental data structure in computer science and programming.
  • Introduction To Linkedlist
  • Implementation Of Linked List
  • Traversing in Linked List
  • Searching in Linked List
  • Insertion in Linked List
  • Deletion in Linked List
  • Reverse in Linked List
  • Circular Linked List
  • Doubly Linked List
In data structures, a stack is a linear data structure that follows the Last-In, First-Out (LIFO) principle. It is used to manage a collection of elements where the most recently added item is the first one to be removed. Here's a short description of a stack.
  • Stack Introduction
  • Array Implementation Of Stack
  • Push And Pop Operations On Stack
  • Reversal Of String
  • Applications Of Stack
  • Linked Implementation Of Stack
  • Balanced Bracket Problem
  • Evaluating The Postfix Expression
  • Infix To Postfix Conversion
In data structures, a queue is a linear data structure that follows the First-In, First-Out (FIFO) principle.
  • Introduction To Queue
  • Linked Implementation Of Queue
  • Array Implementation Of Queue
  • Types Of Queues
  • Circular Queue
  • Priority Queue
  • Dequeue
A Tree is a hierarchical data structure that consists of nodes connected by edges.
  • Introduction To Various Tree
  • Binary Tree
  • Binary Search Tree
  • Strict Binary Tree
  • Complete Binary Tree
  • Extended Binary Tree
  • Balanced Tree
  • Binary search tree
  • Traversal in Binary Search Tree
  • Preorder Traversal
  • Inorder Traversal
  • Postorder Traversal
  • Spanning tree
  • Minimum spanning tree