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13.  Create a 2D NumPy array with random values between 0 and 1, of shape (3, 4). Calculate the mean, median,
                   standard deviation, and sum of all elements in the array.
                     import numpy as np
                     array = np.random.rand(3, 4)
                     mean = np.mean(array)
                     median = np.median(array)
                     std_dev = np.std(array)
                     total_sum = np.sum(array)
                     print("Array=>",array)
                     print("Mean:",mean)
                     print("Median:",median)
                     print("Standard Dev:",std_dev)
                     print("Total Sum:",total_sum)
                   Output:
                     Array=> [[0.1323895  0.96092024 0.57495279 0.32993941]
                      [0.99346564 0.28274965 0.60210725 0.52907223]
                      [0.01546212 0.80636395 0.79479556 0.66974995]]
                     Mean: 0.5576640248163472
                     Median: 0.5885300205581695
                     Standard Dev: 0.3011857443905632
                     Total Sum: 6.6919682977961665
              14.   Assume two single dimension arrays. Write a Python Program to perform the four mathematical operations on
                   these two arrays.
                     import numpy as np
                     array1 = np.array([11,12,13,14,15])
                     array2 = np.array([6, 7, 8, 9, 10])
                     add = array1 + array2
                     subtract = array1 - array2
                     multiply = array1 * array2
                     divide = array1 / array2
                     print(add)
                     print(subtract)
                     print(multiply)
                     print(divide)
                   Output:
                     [17 19 21 23 25]
                     [5 5 5 5 5]
                     [66  84 104 126 150]
                     [1.83333333 1.71428571 1.625      1.55555556     1.5]
              15.   Create a dataframe with information about different types of pizzas, their sizes, prices, ingredients etc. Display the
                   first few rows of the dataframe.

                     import pandas as pd
                     # Create a DataFrame with information about pizzas
                     data = {'Pizza Name': ['Margherita', 'Pepperoni', 'BBQ Chicken', 'Veggie', 'Hawaiian'],
                         'Size': ['Small', 'Medium', 'Large', 'Medium', 'Small'],
                         'Price': [8.99, 10.99, 12.99, 9.99, 11.49],

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