#dsa using java

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Two Pointer Technique (DSA using Java) | Two Sum Problem | DSA Placement Course

DSA Coding Interview Patterns: Two Pointer Technique & Two Sum Problem 💻◾◼️ Useful Notes & Courses Links◼️◾👉🏻 Free Notes : https://smartprog

Two Pointers Technique in Java | Step-by-Step Explanation with Example | DSA Using Java

Learn Two Pointers Technique in Java with this complete step-by-step explanation. In this video, Deepak Sir explains how to use the two pointer approach to solve array and string problems efficiently.

This is one of the most important techniques for:

Coding Interviews (Amazon, Google, Microsoft)

DSA Problem Solving

LeetCode / Competitive Programming

Placement Preparation

📌 Topics Covered: ✔ What is Two Pointers Technique ✔ When to use Two Pointers ✔ Step-by-step Dry Run ✔ Java Code Implementation ✔ Time & Space Optimization ✔ Real Interview Problems

🚀 Why Two Pointers?

Reduces time complexity

Works best on sorted arrays

Improves problem-solving speed

👉 If you want to crack coding interviews, mastering Two Pointers is a MUST.

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Insertion Sort Algorithm in Java | Theory + Code + Interview Questions | DSA Tutorial

In this video, we will learn Insertion Sort in Java step by step with algorithm, dry run, code implementation, and important interview quest

Insertion Sort in Data Structures | Java Implementation + Complexity

Learn Insertion Sort in Java with a complete step-by-step explanation in this DSA tutorial. In this video, Deepak Sir explains the Insertion Sort algorithm using Java with proper dry run, logic building, and real coding examples.

This video is perfect for:

Beginners learning DSA using Java

Students preparing for coding interviews

Placement preparation

Improving problem-solving skills

📌 Topics Covered: ✔ What is Insertion Sort ✔ Step-by-Step Dry Run ✔ Java Implementation ✔ Time Complexity of Insertion Sort ✔ Space Complexity ✔ In-place Sorting Algorithm ✔ When to use Insertion Sort

Insertion Sort is one of the most important sorting algorithms for beginners because it helps you understand how sorting works internally and builds a strong foundation for advanced algorithms.

🚀 Start your DSA journey now and improve your coding skills.

[smartprogramming]

Selection Sort Algorithm in Java (Data Structure) | DSA Placement Course

Selection Sort in Data Structure | Sorting Algorithms in Java | DSA Placement GuideIn this video, you’ll learn Selection Sort from scratch —

Selection Sort Algorithm in Java | Full Explanation + Dry Run

Learn Selection Sort in Java with a complete step-by-step explanation. In this video, Deepak Sir explains the Selection Sort algorithm with examples, dry run, and Java code implementation.

This video is perfect for beginners starting DSA using Java, coding interview preparation, and improving problem-solving skills.

Topics Covered: ✔ Selection Sort Algorithm ✔ Step-by-Step Dry Run ✔ Java Program ✔ Time & Space Complexity ✔ Interview Preparation

Start your DSA journey today and master sorting algorithms easily 🚀

#SelectionSort #Java #DSA #SortingAlgorithm #CodingInterview #SmartProgramming

[smartprogramming]

Binary Search Algorithm in Java (DSA) || Theory + Code + DSA Tasks || Time & Space Complexity

📌 Binary Search in Java | Theory + Code + Time & Space Complexity | 6 Practice TasksWelcome to this detailed tutorial on Binary Search Algor

Binary Search in Data Structures Using Java

🚀 Binary Search in Java – Important DSA Concept for Placements

Binary Search is one of the most important algorithms in Data Structures and Algorithms (DSA). It is widely used in software development and technical interviews because of its efficiency and fast searching capability.

In today’s competitive placement environment, understanding searching algorithms like Binary Search has become essential for students preparing for coding interviews and software engineering roles.

📌 What is Binary Search?

Binary Search is a searching algorithm used to find an element in a sorted array. Instead of checking every element one by one like Linear Search, Binary Search divides the search space into half repeatedly.

This makes the algorithm extremely fast and efficient.

⚡ Time Complexity of Binary Search

Binary Search works with:

O(log⁡n)O(\log n)O(logn)

This is much faster compared to Linear Search:

O(n)O(n)O(n)

Because of this efficiency, Binary Search is commonly used in:

Search engines

Databases

Large-scale applications

Coding interviews

💡 Why is Binary Search Important for Placements?

Top companies frequently ask Binary Search questions because it tests:

Logical thinking

Problem-solving ability

Understanding of algorithms

Time complexity optimization

Students preparing for placements in companies like TCS, Infosys, Amazon, Google, and Microsoft should have strong command over Binary Search concepts.

🎯 What You Will Learn in This Video

In this tutorial, you will learn:

Binary Search Algorithm

Java Implementation

Step-by-step Dry Run

Interview-based explanation

Time Complexity analysis

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Mastering Arrays in Java & Data Structures 🔥 || Types, Memory, Programs, Syntax & More

🚀 Mastering Arrays in Java & Data Structures | One Shot Complete Guide for Beginners 🔥Welcome to this complete tutorial on Arrays in Java, w

What are Arrays in Java and how can we master their types, memory concepts, programs, and syntax? 🤔

Arrays are used to store multiple values in a single variable efficiently. To understand their types, memory usage, syntax, and implementation in depth — watch the full video on my YouTube channel “Smart Programming” 🎥🔥

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#2 Time & Space Complexity in DSA (Java) 🔥 Big O + Real-World Example

📌 Time & Space Complexity in Java (DSA) 🔥 Big O Notation + Real-World ExampleIn this video, we will cover Time and Space Complexity in Java

How to Calculate Time & Space Complexity in DSA? Refer this video for complete explanation related to time and complexity in DSA using Java.

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💡 What is the best roadmap to start learning Data Structures and Algorithms (DSA) for beginners in 2025?

If you’re just beginning your journey into programming, this video is perfect for you: “Introduction to Data Structures & Algorithms | Types, Use & DSA Roadmap for Beginners”. It covers:

The main types of data structures (arrays, linked lists, stacks, queues, trees, graphs)

When and why you should use each one in real-world scenarios

A clear step-by-step roadmap to master DSA — from basics → medium level → interview prep

Tips on how to practice smartly and build your problem-solving skills rather than just memorizing

If you follow this roadmap carefully, you’ll develop a solid foundation and be well-prepared for coding interviews or building efficient applications.