Python 3: Project-based Python, Algorithms, Data Structures - Project: Use hash structure in a practical exercise - Quot

The video tutorial discusses search techniques, focusing on linear and binary search. It explains linear search with examples, highlighting its linear time complexity. The tutorial then introduces binary search, demonstrating its efficiency with sorted data and its logarithmic time complexity. A step-by-step example of binary search is provided, illustrating how it reduces the search space by half at each step.

What is the main characteristic of a linear search?

• It requires sorted data.

• It uses a tree structure.

• It checks each element sequentially.

• It divides the data into halves.

In a linear search, if you have 1,000,000 records, what is the worst-case scenario for finding an item?

• 1,000,000 operations

• 10 operations

• 500,000 operations

• 1 operation

What advantage does binary search have over linear search?

• It works with unsorted data.

• It significantly reduces the number of operations needed.

• It requires more memory.

• It has a linear time complexity.

What is the first step in a binary search?

• Check a random element.

• Check the first element.

• Check the last element.

• Check the middle element.

In the binary search example, what happens if the target number is greater than the middle number?

• Search the right half.

• Stop the search.

• Search both halves.

• Search the left half.

How many steps did it take to find the number 57 in the binary search example?

• 2 steps

• 3 steps

• 5 steps

• 4 steps

What is the time complexity of binary search?

• O(log N)

• O(N)

• O(N^2)

• O(1)