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Grokking the Coding Interview Patterns in Python

Binary Search

Explore how to apply the binary search algorithm to locate target values in sorted arrays. Learn to understand problem constraints, analyze sorted data, and implement efficient code solutions.

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Statement

We are given an array of integers, nums, sorted in ascending order, and an integer value, target. If the target exists in the array, return its index. If the target does not exist, return -1.

Constraints:

  • 11≤\leq nums.length ≤\leq 10310^3

  • −104-10^4≤\leq nums[i] , target ≤\leq 10410^4

  • All integers in nums are unique.

  • nums is sorted in ascending order.

Example

Understand the problem

Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the correct problem:

Binary Search

1.

Find the index of the number 60 from the following array using binary search.

array = [-10, 11, 60, 70]

Also, calculate the number of comparisons required to find the number.

A.

index: 0, steps: 2

B.

index: 1, steps: 1

C.

index: 2, steps: 2

D.

index: 2, steps: 3

1 / 4

Figure it out!

We have a game for you to play. Rearrange the logical building blocks to develop a clearer understanding of how to solve this problem.

Sequence - Vertical
Drag and drop the cards to rearrange them in the correct sequence.
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Try it yourself

Implement your solution in the following coding playground.

Python
usercode > main.py
def binary_search(nums, target):



    # Replace this placeholder return statement with your code

    return -1
Binary Search