Mastering Algorithmic Efficiency in Python: Big-O & Computational Complexity 📊
Learn the fundamentals of algorithm efficiency, Big-O notation, and computational complexity with this comprehensive Python tutorial. Perfect for Class XII students and coding enthusiasts!
About this video
“IDEA OF ALGORITHMIC EFFICIENCY”
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https://drive.google.com/file/d/1LC56mAMEcVL1Wd6wZK4349KWgzqO8lmF/view?usp=sharing
Topics :
• Introduction
• What is computational complexity ?
• Factors on which complexity depends
• Estimating complexity of Algorithms
i) Big-O Notation
ii) Guidelines for computing complexity
a) Loops
b) Nested loops
c) Consecutive statements
d) If-then-else statements
e) Logarithmic complexity
• Best, Average and Worse case complexity by Graphical Method
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