Two Pointes
The two-pointer technique is an efficient algorithmic approach that uses two indexes to traverse data structures like arrays or strings. The pointers move toward each other, away from each other or in the same direction to solve problems involving searching, pair finding or window management. It reduces complexity, often turning O(n²) solutions into O(n), making it ideal for optimized problem-solving.
Top Two Pointes Articles
Sliding Window Algorithm : Beginners to Advanced Engineers
Sliding Window Algorithm, What is the Sliding Window Approach?, Why Use Sliding Window? Where to Use Sliding Window, How Sliding Window Works with Examples
What is Two Pointer Approach?
The two-pointer technique is a foundational pattern for solving array, string, and linked-list problems in linear (or near-linear) time with constant extra space
Check if a Linked List is Palindrome
Palindrome Linked List | Check if a Linked List is Palindrome O(n) time and O(1) space | Fast & Slow Pointer Method with In-Place Second Half Reversal
Length of the Longest Substring Without Repeating Characters
Length of the Longest Substring Without Repeating Characters | Given a string str find the length of the longest substring without repeating characters | find the length of the longest substring without repeating characters in a given string |
Remove Duplicates from Sorted Array II
Given a sorted integer array in ascending order , remove all duplicates from this array so that each unique element appears at most twise in this array. also maintain relative order of the elements in array.
Remove Duplicates from Sorted Array
Given an integer sorted array (arr) in ascending order , remove all duplicates from this array so that each unique element appears only once in this array. also maintain relative order of the elements in array
Merge Sorted Array
You are given two integer arrays arr1 and arr2, sorted in accending order, and two integers m and n, representing the number of elements in arr1 and arr2 respectively. Merge arr1 and arr2 into a single array sorted in accending order.
Popular Topics
SQLDSASoftware DesignC#C# CollectionInterviewMethodArrayDatabaseInterview Experience
SQL stands for Structured query language. It is a programming language for storing and processing information in a relational database. It is standard language for accessing and manipulating databases.
DSA (Data Structures and Algorithms) is a fundamental concept in computer science that focuses on efficiently storing, organizing and processing data. Data structures like arrays, linked lists, stacks and trees manage data, while algorithms provide step-by-step solutions to problems. Mastering DSA is essential for writing optimized, scalable and high-performance code.
Software design is the process of planning and structuring a software system’s architecture, components, interfaces, and data flow to meet functional and non-functional requirements. It ensures scalability, maintainability and performance. Key approaches include modular design, object-oriented design and architectural patterns like MVC and microservices for efficient, reliable software development.
C# (C-Sharp) is a modern, object-oriented programming language developed by Microsoft for building secure, scalable applications. It runs on the .NET platform and supports features like strong typing, garbage collection, LINQ, async programming and cross-platform development. C# is widely used for web, desktop, game development (Unity), cloud services and enterprise-level software solutions.
In C#, Collections are classes in the System.Collections and System.Collections.Generic namespaces that store and manage groups of related objects. They include types like List<T>, Dictionary<TKey,TValue>, Queue<T> and Stack<T>. Collections offer dynamic sizing, built-in search, sorting and iteration, making data handling efficient and flexible in C# applications.
A structured conversation where one participant asks questions and the other provides answers of those questions.
A method is a block of code that performs a task.
An array is a linear data structure that stores multiple elements of the same type in contiguous memory locations. It allows fast access using index positions, making operations like retrieval efficient. Arrays are widely used for organizing data, implementing algorithms and building other data structures. However, their size is fixed, making resizing difficult compared to dynamic collections.
A database is an organized collection of data. It is the collection of schemas, tables, queries, reports, views, and other objects. The data are typically organized to model aspects of reality in a way that supports processes requiring information. Use this tag if you have questions about designing a database.
An interview experience is a detailed account of the interview process for a specific role, covering rounds, questions asked, difficulty level, preparation tips and personal insights to help future candidates understand what to expect and how to prepare effectively.
Popular Articles
You are given two integer arrays arr1 and arr2, sorted in accending order, and two integers m and n, representing the number of elements in arr1 and arr2 respectively. Merge arr1 and arr2 into a single array sorted in accending order.
Top High-Level Design(HLD) Interview Questions and answers, HLD QnA, HLD interview preparation
Maximum Product Subarray, Find Maximum Product Subarray in an Array, Given an integer array arr, find a subarray that has the largest product,
Mastering the Singleton Design Pattern in C#, Singleton Design Pattern in Depth: Structure, Use Cases and Best Practices, in depth design pattern, LLD , low level design
How to Approach HR Interview Questions , What to Keep in Mind While Answering HR Interview Questions, HR Interview Questions and Answers
Find the Maximum Subarray Sum | Largest Sum Contiguous Subarray | Kadane’s Algorithm | Maximum Subarray | Given an integer array nums, find the
subarray with the largest sum and return its sum | The Efficient Way to Find Maximum Subarray Sum
Mastering the Template Design Pattern in C#, Template Design Pattern in Depth: Structure, Use Cases and Best Practices
List Handling in Java vs C# vs C++ A Deep Comparison, This comparison provides a full view java , c# and c++ List like data structures
Amazon Transaction Logs (example question), Amazon Transaction Logs Interview question
namespace in c# | namspace concept in c# | c# namespace | c sharp namespace | what is namesapce and it's use cases | why should we use namespace
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