Data Structures and Algorithms with Python | Free DSA with Python Course - Time and Space Complexity? - DSA Python Course 2025 - Part 2 [Hindi] | Code & Debug

Welcome to Part 2 of Code & Debug’s DSA Python Course 2025! 🎉 In this video, we’ll break down Time Complexity and Space Complexity, essential concepts for mastering Data Structures and Algorithms. What you’ll learn in this lecture: 📌 The importance of time and space complexity in coding 📌 Big-O Notation explained step-by-step with Python examples 📌 Practical tips to write efficient and optimized code 👉 Refer the article below for better understanding of Time and Space Complexity: https://codeanddebug.in/blog/time-complexity-and-space-complexity/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advance DSA course here: https://codeanddebug.in/course/zero-to-hero-python-dsa This session is ideal for coding interview preparation, competitive programming, or enhancing your problem-solving skills in Python. 👉 Join the full free course here: https://www.codeanddebug.in/course/master-dsa-with-leetcode 👉 Subscribe to Code & Debug and hit the 🔔 to stay updated with our complete DSA Python series. Timestamp: 0:00 Introduction to Time & Space Complexity 1:04 What is Time Complexity? 7:19 Big O Notation Explained 11:11 Rule 1 – Always Consider Worst Case 17:06 Rule 2 – Ignore Constants 19:00 Rule 3 – Ignore Lower Order Terms 20:58 Big O vs Omega vs Theta Notation 22:43 Example 1 – Nested Loops (O(n²)) 26:04 Example 2 – Sum of Natural Numbers (O(n²)) 30:50 What is Space Complexity? 36:03 Conclusion