One-Dimensional Arrays An array is a collection of elements of the same data type stored in contiguous memory locations. This allows the elements in an arra...
One-Dimensional Arrays
An array is a collection of elements of the same data type stored in contiguous memory locations. This allows the elements in an array to be accessed and manipulated as a single unit.
Characteristics of One-Dimensional Arrays:
Order of elements: Elements are stored in the order in which they are declared in the code.
Size: Arrays can have a fixed size or be dynamically allocated at runtime.
Elements: Each element in the array is of the same type.
Declaration and Initialization:
python
array_name = [element1, element2, ..., elementN]
array_name is a variable that stores the name of the array.
element1, element2, ..., elementN are the elements of the array.
Example:
python
age_array = [25, 30, 35, 40, 45]
print(age_array[0])
Usage:
Accessing elements: array_name[index]
Adding elements: array_name.append(element)
Removing elements: array_name.pop(index)
Arrays in Functions:
Arrays can be passed as arguments to functions and returned as function outputs. This allows functions to process and manipulate arrays efficiently.
Benefits of One-Dimensional Arrays:
Efficiency: Arrays allow for efficient access and manipulation of data.
Reusability: Arrays can be reused multiple times with the same data.
Data integrity: Arrays ensure that elements are stored in the correct order