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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 —

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Bubble Sort Algorithm in Java (DSA) | Step-by-Step Code + Time & Space Complexity 💻

Welcome to this detailed tutorial on Bubble Sort in Java, where we explain the complete logic, step-by-step Java program, and also cover the

What is Bubble Sort Algorithm in Java Using DSA and what is its time complexity?

Bubble Sort is one of the easiest sorting algorithms where elements “bubble” up to their correct position through repeated passes. In each pass, adjacent elements are compared, and if the first is greater than the second, they are swapped. This process continues until the entire array is sorted. Although easy to write and understand, Bubble Sort is inefficient for large datasets.

Time Complexity:

Worst: O(n²)

Average: O(n²)

Best: O(n) (when array is already sorted)

Space Complexity

O(1) — uses constant extra memory.

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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

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Array Operations in Java – Traversal, Insertion, Deletion, Searching

An array is a collection of elements (same data type) stored in contiguous memory locations. Common operations include:

Traversal – Accessing each element of the array (usually using a loop).

Insertion – Adding a new element at a specific position (requires shifting elements). Example: Insert at index 2 → shift elements right before inserting.

Deletion – Removing an element from a specific index (requires shifting elements left). Example: Delete index 3 → move remaining elements left.

Searching – Finding the position of an element.

Linear Search: Check one by one.

Binary Search: Works on sorted arrays; faster.

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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.

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Get UPTO 70% OFF on our Core Java & Advance Java + Spring & Springboot Courses

Courses Website: https://courses.smartprogramming.in/ Call or what's app for more details: [phone] OR [phone] #java #smartprogramming #javabydeepak

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Java Basic Tutorials for Beginners & Experienced in Hindi by Deepak. Interview Questions are also covered in these tutorials.

Java Basic Tutorials for Beginners & Experienced in Hindi by Deepak. Interview Questions are also covered in these tutorials.