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Traversal and Searching in an Array

Explore how to traverse arrays and locate elements using linear and binary search algorithms in Python. Learn when to apply each search method depending on array order, and understand their time and space complexities for efficient problem solving.

At this point, the core array operations are established. Reading or updating a single element is only one aspect. Effective use of arrays also requires traversing them and locating elements. This lesson covers traversal and searching, which are fundamental operations in array-based problems.

Traversal (Iterate through the array)

Traversal means going through every element of an array, one at a time, from the first to the last. It is a commonly used operation and serves as the foundation for almost everything else: searching for a value, adding up a total, printing every element, or checking whether a condition is met.

How traversal works

To traverse an array, we use a loop that visits each element one at a time, from start to end. Think of it like reading through our scorecard from game 1 to the last game, one row at a time. We do not skip any entry and we do not jump ahead. We simply go through each one in order.

The most common way to traverse an array is with a for loop where element is the :

Python 3.5
for element in array:
# do something with element

Consider a scores array [88, 95, 70, 82, 91]. The following illustration shows how the loop visits each element one at a time from left to right:

Python implementation

The following code shows how to traverse the scores array and print each element:

C++
scores = [88, 95, 70, 82, 91]
for score in scores:
print(score)

The loop goes through the scorecard from game 1 to game 5, printing each score in the order it was recorded. Unlike access or update, which go straight to one position, traversal visits every element in sequence. The larger the array, the longer it takes.

Sorted and unsorted arrays

Before we look at how we search through an array, it helps to understand ...