Python Foundations for Analytics — Quiz | Data Analytics using Python

Question 1

Which tool lets you run Python in the browser with nothing to install?

A Microsoft Excel

B Google Colab

C Notepad

D Power BI

Question 2

What does len([10, 20, 30]) return?

A 60

B 3

C 30

D [10, 20, 30]

Question 3

Which type best represents a single labelled record such as a customer row?

A list

B dict

C int

D bool

Question 4

In Python, how is a block of code (e.g. inside an if) defined?

A With curly braces { }

B With indentation (spaces)

C With the word END

D With parentheses ( )

Question 5

What does this list comprehension produce: [a for a in [5, 12, 8] if a > 7]?

A [5]

B [12, 8]

C [5, 12, 8]

D [12]

Question 6

Why wrap float(value) in a try / except when reading data?

A To make it run faster

B To recover gracefully when a value is blank or not a number

C To convert numbers to text

D It is required by all functions

Question 7

Which keyword brings an external library such as statistics into your script?

A include

B using

C import

D load

Question 8

What is the safest way to open a file so it is always closed properly?

A open('f.csv') and forget it

B with open('f.csv') as f:

C file = f.csv

D read('f.csv')

Question 9

csv.DictReader turns each CSV row into a…

A list of numbers

B single string

C dict keyed by the column headers

D DataFrame

Question 10

Which function converts a Python object into JSON text?

A json.loads()

B json.dumps()

C json.read()

D str()

Question 11

Put the everyday Git workflow in order:

A push → commit → add

B add → commit → push

C commit → add → push

D init → push → add

Question 12

What makes a notebook 'reproducible'?

A It has many charts

B It runs top-to-bottom without errors after a kernel restart

C It is saved as a PDF

D It uses the newest Python