Time Complexity in List and String (AI) in Hindi - Live Class-6 (Recording) скачать в хорошем качестве

Time Complexity in List and String (AI) in Hindi - Live Class-6 (Recording)

In this video, we break down time complexity using multiple real Python examples with lists and strings so you can clearly understand how different operations impact performance. You’ll learn: What is Time Complexity? Big-O Notation explained in simple terms Time complexity of Python list operations Time complexity of string operations Why nested loops increase complexity Real examples of O(1), O(n), O(n²) How to write more efficient Python code If you're preparing for: Coding interviews Data Structures & Algorithms Python programming AI/ML development Backend development This video will help you build strong fundamentals. Master performance thinking, not just syntax. ⏱ Topics Covered Constant Time – O(1) Linear Time – O(n) Quadratic Time – O(n²) List indexing, append, pop String slicing and concatenation Loop-based examples Optimization mindset #TimeComplexity #BigONotation #PythonProgramming #PythonForBeginners #DataStructures #DSA #CodingInterview #LearnPython #Algorithm #SoftwareEngineering #PythonExamples #ProgrammingFundamentals #CodeOptimization