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Data structure and algorithms
most asked coding question in big product based company medium , hard level of each topic minimum 150 question with proper explanation in java language , and also low level design of various question asked in companies and high level design also
Course Curriculum
Section 1. Data structure and algorithms
Introduction to Data Structures
In the world of software development, data structures play a crucial role in organizing and manipulating data efficiently. Understanding the fundamentals of data structures is essential for every programmer. Data structures are objects that allow us to store, organize, and access data in different ways. They provide a way to represent the relatio...
Arrays and ArrayLists
Introduction to Arrays Arrays are an essential data structure in programming. They allow you to store multiple values of the same type in a single variable. Arrays provide a way to efficiently organize and access data. Array Declaration and Initialization To declare and initialize an array in Java, you can use curly braces {} to specif...
Linked Lists
Introduction to Linked Lists Linked lists are an important data structure in computer science. They are used to store and manipulate a collection of elements. Unlike arrays, linked lists do not require contiguous memory allocation. Each element in a linked list contains a value and a reference to the next element in the list. This means that...
Stacks
Introduction to Stacks A stack is a fundamental data structure in computer science that follows the Last-In, First-Out (LIFO) principle. It is an ordered collection of elements where the addition of new elements and the removal of existing elements occur at the same end. This end is commonly referred to as the top of the st...
Queues
A queue is a collection of items whereby its operations work in a FIFO - First In First Out manner. The two primary operations associated with them are enqueue and dequeue. In real life, we often encounter queues, whether it's waiting in line at a grocery store or in a drive-thru. The principle behind queues is also applicable in comput...
Trees
Introduction to Trees Trees are an important data structure in computer science that are used to represent hierarchical relationships between elements. Just like a real tree in nature, a tree data structure consists of a collection of nodes, where each node has a value and can have zero or more child nodes. In a tree, there is a special node...
Graphs
are one of the most common data structures in computer science. Especially with today's machine learning and artificial intelligence trends, understanding them is crucial. A shocking amount of real-life things can be modeled with graphs. Humans think in associations, so it's obvious why connecting things in this way is practical. But graph...
Hash Tables
Welcome to the introduction of hash tables in the Hash Tables tutorial! In this lesson, we will explore the concept of hash tables, a data structure that allows for efficient retrieval and storage of key-value pairs. Hash tables provide fast access to data by using a technique called hashing. Hashing involves applying a hash function to a key to...
Sorting Algorithms
Introduction to Sorting Algorithms Sorting algorithms are fundamental tools in computer science and programming. They allow us to arrange elements in a specific order, making it easier to search, analyze, and manipulate data. In simple terms, a sorting algorithm is like a recipe for organizing a collection of elements such as numbers or string...
Searching Algorithms
Introduction to Searching Algorithms In the world of problem-solving, searching algorithms play a crucial role. They allow us to efficiently find specific elements in a collection of data. Imagine you are searching for a particular item in a large dataset; searching algorithms help you find that item quickly, saving you time and effort. Just...
Recursion
Introduction to Recursion Recursion is a powerful technique in programming that involves a function calling itself. It is based on the principle of 'divide and conquer,' where a problem is broken down into smaller, more manageable subproblems. In recursive algorithms, a problem is solved by solving smaller instances of the same problem, until...
Dynamic Programming
Introduction to Dynamic Programming Dynamic Programming is a technique used in problem-solving, where we divide a complex problem into smaller overlapping subproblems and store the solutions to those subproblems. By solving the subproblems only once and reusing their solutions, we can optimize the overall solution. **Why is Dynamic Programmin...
Low Level Design
Introduction to Low Level Design Low level design is the process of creating detailed design solutions for a software system. It involves designing the classes, objects, methods, variables, and control structures that make up the system. Low level design is important because it ensures that the system is efficient, scalable, and maintainable...
High Level Design
Introduction to High Level Design High level design is an architectural approach to designing software systems that focus on the overall structure and organization of the system. It involves defining the major components of the system, their relationships, and the interfaces between them. In high level design, we take a holistic view of the s...
