Big O(1) Complexity

The video tutorial introduces Big O notation, focusing on constant time complexity (O(1)). It uses a student list example to demonstrate that operations remain constant regardless of input size. The tutorial explains that even if multiple operations are performed, they are still considered constant. The video emphasizes understanding the concept of constant time and how it is represented graphically. It concludes by stating that in Big O notation, constants are simplified to O(1), and prepares viewers for further exploration of complexity calculations.

What is the complexity of the 'display student' function and why?

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How does the number of elements in the input affect the number of operations performed in the example given?

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What does it mean when we say that the operations do not depend on the input size?

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Explain the significance of constant time complexity in terms of scalability.

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Discuss the implications of using big O notation for constant time complexities.

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