Binary search bisection in Python

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binary search, also known as bisection search, is an efficient algorithm for finding a specific target element in a sorted list or array. this algorithm repeatedly divides the search space in half, narrowing down the possibilities until it finds the desired element or determines it doesn't exist in the list. this tutorial will guide you through the concept of binary search and provide python code examples to help you understand and implement it.
binary search works by following these steps:
let's implement binary search in python using a sorted list. here's a step-by-step explanation followed by python code:
initially, set the left boundary (low) to the first index of the list and the right boundary (high) to the last index of the list.
calculate the middle index as (low + high) // 2.
repeat steps 2 and 3 until you find the target or the low index becomes greater than the high index (indicating that the target is not in the list).
here's a python implementation of binary search:
in this example, we have a sorted list of integers, and we're searching for a specific target value (6). the binary_search function returns the index of the target if found or -1 if not found.
binary search is a powerful algorithm for efficiently searching for an element in a sorted list or array. by repeatedly dividing the search space in half, it quickly narrows down the possibilities and can work with large datasets efficiently. understanding how binary search works and being able to implement it in python is a valuable skill for any programmer.
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