Basic NumPy for beginners:Creating a NumPy array: To create a NumPy array from a list or tuple, you can use the np.array() function. For example, the following code creates a NumPy array from a list of numbers:import numpy as np# Create a NumPy array from a list of numbersnumbers = [1, 2, 3, 4, 5]numbers_array = np.array(numbers)# Print the arrayprint(numbers_array)output:[1 2 3 4 5]Basic mathematical operations: NumPy provides functions for performing mathematical operations on arrays, such as addition, subtraction, multiplication, and division. These operations can be performed element-wise, allowing for efficient computation on large datasets. For example, the following code adds two NumPy arrays element-wise:import numpy as np# Create two NumPy arraysx = np.array([1, 2, 3, 4, 5])y = np.array([6, 7, 8, 9, 10])# Add the arrays element-wisez = x + y# Print the resultprint(z)output:[ 7 9 11 13 15]Indexing and slicing: NumPy arrays can be indexed and sliced just like lists. This allows you to access and manipulate specific elements or subarrays within an array. For example, the following code slices a NumPy array to extract the second and third elements:import numpy as np# Create a NumPy arraynumbers = np.array([1, 2, 3, 4, 5])# Slice the array to extract the second and third elementssubarray = numbers[1:3]# Print the resultprint(subarray)output:[2 3]Share and Support @Python_Codes