Arrays

Arrays are a fundamental data structure that allows for efficient data storage and processing. They provide a way to store a collection of elements of the same type in contiguous memory locations.

In Python, arrays can be created using square brackets [] and can hold elements of any data type. For example, consider the following code snippet:

1# Define an array
2numbers = [1, 2, 3, 4, 5]
3
4# Access an element in the array
5print(numbers[0])
6
7# Modify an element in the array
8numbers[1] = 10
9
10# Add an element to the array
11numbers.append(6)
12
13# Remove an element from the array
14numbers.pop(3)
15
16# Print the array
17print(numbers)

In this code, we create an array called numbers and perform various operations on it. We can access elements in the array using indices starting from 0 and modify or add elements as needed. Arrays in Python are dynamic in size, meaning they can grow or shrink as elements are added or removed.

Arrays are commonly used in robotics and computer vision for storing and processing data efficiently. For example, in image processing, an array can be used to represent an image where each element corresponds to a pixel value. Manipulating the array allows for operations such as filtering, edge detection, and object recognition.

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# Python logic here

​

# Define an array

numbers = [1, 2, 3, 4, 5]

​

# Access an element in the array

print(numbers[0])

​

# Modify an element in the array

numbers[1] = 10

​

# Add an element to the array

numbers.append(6)

​

# Remove an element from the array

numbers.pop(3)

​

# Print the array

print(numbers)