How can you create a NumPy array with a specific data type?

You can create a NumPy array with a specific data type by using the dtype parameter in the array() function. This parameter allows you to specify the desired data type for the array elements, such as int, float, complex, etc.

import numpy as np

# Creating a NumPy array with a specific data type
arr = np.array([1, 2, 3, 4], dtype=float)
print(arr)  # Output: [1. 2. 3. 4.]

In this example, the dtype=float parameter ensures that the elements of the array are stored as floating-point numbers, even though the input values are integers.

Specifying the data type is important when you need to control the precision and memory usage of your numerical computations, as different data types have different storage requirements and performance characteristics.