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15 __________ web pages are behavioural and have the capacity to produce distinctive content for different visitors.
a. Static b. Dynamic
c. Creative d. Attractive
16. The programs that have licenses and allow users to freely run the program for any purpose, modify the program
as they want, and also to freely distribute copies of either the original version are known as ..................... .
a. Open Source Software
b. Proprietary Software
c. Pirated Software
d. Customized Software
Q17 and 18 are ASSERTION AND REASONING based questions. Mark the correct choice as
(a) Both A and R are true and R is the correct explanation for A
(b) Both A and R are true and R is not the correct explanation for A
(c) A is True but R is False
(d) A is false but R is True
17. Assertion (A): Google Chrome is an example of a Web browser.
Reasoning (R): A browser is a software application that helps to explore, retrieve, and display the information
available on the World Wide Web.
a. Both A and R are true and R is the correct explanation for A.
b. Both A and R are true and R is not the correct explanation for A.
c. A is True but R is False.
d. A is false but R is True.
18. Assertion (A): Pandas provides functions for data manipulation, such as filtering, grouping, and aggregation.
Reasoning (R): These data manipulation functions in Pandas are only applicable to numeric data and not categorical
data.
a. Both A and R are true, and R is the correct explanation for A.
b. Both A and R are true, but R is not the correct explanation for A.
c. A is true, but R is false.
d. A is false, but R is true.
Section-B
19. Briefly explain the concept of a web page and website.
OR
Sumita is a student in class XII. While learning about web browsers in her book, she found the term "plugins" in
the description. But she is not yet clear about the concept. Help her by giving a proper explanation of plugins and
also give some examples.
20. What will be the output produced on the execution of following code snippet?
import pandas as pd
s = pd.Series(data=[15,20,25,30,35,40])
df = pd.DataFrame(s)
print(df)
350 Touchpad Informatics Practices-XII

