OneCompiler

Hslip14

104

Q1]

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Bootstrap Container with Rows and Columns</title> <!-- Bootstrap CSS CDN --> <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css"> </head> <body> <div class="container mt-5"> <h2>Bootstrap Container with Rows and Columns</h2> 
<!-- Bootstrap Row -->
<div class="row">
    <!-- Bootstrap Column 1 -->
    <div class="col-md-4">
        <div class="card">
            <div class="card-body">
                <h5 class="card-title">Column 1</h5>
                <p class="card-text">Content for column 1 goes here.</p>
            </div>
        </div>
    </div>

    <!-- Bootstrap Column 2 -->
    <div class="col-md-4">
        <div class="card">
            <div class="card-body">
                <h5 class="card-title">Column 2</h5>
                <p class="card-text">Content for column 2 goes here.</p>
            </div>
        </div>
    </div>

    <!-- Bootstrap Column 3 -->
    <div class="col-md-4">
        <div class="card">
            <div class="card-body">
                <h5 class="card-title">Column 3</h5>
                <p class="card-text">Content for column 3 goes here.</p>
            </div>
        </div>
    </div>
</div>
</div> <!-- Bootstrap JS and Popper.js CDN (Required for Bootstrap components) --> <script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script> <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script> </body> </html> Q2] a] import numpy as np

Example flattened array

flattened_array = np.array([1, 2, 3, 4, 5])
weights = np.array([0.1, 0.2, 0.3, 0.2, 0.2])

Compute the weighted average along the specified axis

weighted_average = np.average(flattened_array, weights=weights)

print("Flattened Array:", flattened_array)
print("Weights:", weights)
print("Weighted Average:", weighted_average)

b]
import pandas as pd

Load advertising dataset

advertising_data = pd.read_csv('advertising.csv')

Display basic statistical details of the data

statistical_details = advertising_data.describe()
print("Basic Statistical Details of the Advertising Data:\n", statistical_details)