DSA Series Episode 02 🔥 - Time and Space Complexity (Simplified with CODING)

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Welcome to Episode 2 of the “DSA in Tamil using Python” series, where we dive deep into one of the most important concepts in computer science – Time and Space Complexity.

In this lesson, you will learn how to evaluate the performance and efficiency of algorithms using Big-O Notation, explained in a simple and intuitive manner with real Python coding examples.

Understanding Time and Space Complexity is a must-have skill for interview preparation, competitive programming, university exams, and becoming a better problem-solver in software development.

💡 What This Video Cover
✅What is Time Complexity?
✅Types of Time Complexity with examples
✅What is Space Complexity?
✅Why companies evaluate complexity in coding rounds
✅Big-O Notation explained step-by-step
✅Python examples to understand how complexity changes
✅Best practices to improve algorithm performance
✅Real interview insights and industry relevance

🎯 Who Is This Video For?
● This episode is ideal for:
● Students learning Data Structures and Algorithms
● Beginners preparing for technical interviews
● Programmers learning Python fundamentals
● Anyone restarting or strengthening their IT career
● Engineering and computer science learners
● Professionals upskilling for the future

⌛Timestamps :

00:00 - Intro teaser
01:22 - Agenda
04:00 - What is Time Complexity?
10:11 - What is Big O Notation?
25:52 - Summary
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Credits:
Music: Final Attack by Soundridemusic
Link to Video:    • NoCopyright Epic Teaser Trailer 1 minute B...