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Linear Search Algorithm Explained for Beginners in Tamil Data Structures and Algorithm #python

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In this beginner-friendly video, we delve into the Linear Search algorithm, a fundamental method for finding elements in a list or array. 🕵️♂️
To Solve Problems related to Linear Search look for this video :
🔍 What is Linear Search? 🔍
Linear search involves sequentially scanning each element in a list, starting from the beginning and moving towards the end. It's like looking for a book on a shelf by checking each one until you find the right one. We'll guide you through the step-by-step process, making it easy to grasp.
⏱️ Time Complexity: O(n) ⏱️
Learn about the time complexity of Linear Search, where 'n' represents the number of elements in the list. We'll explain how the worst-case scenario can occur when the element is the last one or isn't in the list at all. Discover when and where to use this algorithm effectively.
💾 Space Complexity: O(1) 💾
Understand the space complexity of Linear Search, which only requires a constant amount of extra memory. No need to worry about excessive memory usage! We break down the memory requirements for the algorithm.
🚀 Efficiency and Use Cases 🚀
While Linear Search is straightforward, we'll explore its limitations and highlight the best scenarios for its application. Discover why it's suitable for smaller lists or unsorted data and when you might want to explore more advanced search algorithms.
Chapters
00:00 Intro
00:14 What is Linear Search
01:02 When and How to Use
02:58 Pseudo code
05:12 Python Code
07:53 Running States Pycharm's Debugger
09:51 Time Complexity
#LinearSearch #AlgorithmExplained #BeginnersGuide #SearchAlgorithms #TimeComplexity #SpaceComplexity #python #pythonprogramming #datastructures #algorithm #coder #code
To Solve Problems related to Linear Search look for this video :
🔍 What is Linear Search? 🔍
Linear search involves sequentially scanning each element in a list, starting from the beginning and moving towards the end. It's like looking for a book on a shelf by checking each one until you find the right one. We'll guide you through the step-by-step process, making it easy to grasp.
⏱️ Time Complexity: O(n) ⏱️
Learn about the time complexity of Linear Search, where 'n' represents the number of elements in the list. We'll explain how the worst-case scenario can occur when the element is the last one or isn't in the list at all. Discover when and where to use this algorithm effectively.
💾 Space Complexity: O(1) 💾
Understand the space complexity of Linear Search, which only requires a constant amount of extra memory. No need to worry about excessive memory usage! We break down the memory requirements for the algorithm.
🚀 Efficiency and Use Cases 🚀
While Linear Search is straightforward, we'll explore its limitations and highlight the best scenarios for its application. Discover why it's suitable for smaller lists or unsorted data and when you might want to explore more advanced search algorithms.
Chapters
00:00 Intro
00:14 What is Linear Search
01:02 When and How to Use
02:58 Pseudo code
05:12 Python Code
07:53 Running States Pycharm's Debugger
09:51 Time Complexity
#LinearSearch #AlgorithmExplained #BeginnersGuide #SearchAlgorithms #TimeComplexity #SpaceComplexity #python #pythonprogramming #datastructures #algorithm #coder #code
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