Python Medium technical 0 views 1 min read

What data types does Python support?

Peer-reviewed by HireXTech Technical Panel Updated for 2025/2026 hiring Editorial standards
Practise this track
Interviewer Expectations for this Question
01
Core Competency

Assesses fundamental understanding of Python conventions, runtime behavior, and memory/performance considerations.

02
Evaluation Criteria

Hiring managers look for precision, avoidance of ambiguous jargon, and ability to explain trade-offs under real production conditions.

Comprehensive Model Answer Verified Solution

Python provides us with five kinds of data types:

Numbers – Numbers use to hold numerical values.

>>> a=7.0

>>>
Strings – A string is a sequence of characters. We declare it using single or double quotes.

>>> title="Ayushi's Book"

Lists – A list is an ordered collection of values, and we declare it using square brackets.

>>> colors=['red','green','blue']

>>> type(colors)
<class 'list'>

Tuples – A tuple, like a list, is an ordered collection of values. The difference. However, is that a tuple is immutable. This means that we cannot change a value in it.

>>> name=('Ayushi','Sharma')

>>> name[0]='Avery'
Traceback (most recent call last):

File "<pyshell#129>", line 1, in <module>

name[0]='Avery'

TypeError: 'tuple' object does not support item assignment

Dictionary – A dictionary is a data structure that holds key-value pairs. We declare it using curly braces.

>>> squares={1:1,2:4,3:9,4:16,5:25}

>>> type(squares)
<class 'dict'>

>>> type({})

<class 'dict'>

We can also use a dictionary comprehension:

>>> squares={x:x**2 for x in range(1,6)}

>>> squares
{1: 1, 2: 4, 3: 9, 4: 16, 5: 25}

Candidate Response Strategy & Interview Tips

  1. Start with a concise one-sentence summary: Deliver a direct, confident answer first before expanding into nuances.
  2. Demonstrate real-world trade-offs: Discuss where this approach excels and when you would avoid it in production systems.
  3. Discuss complexity & edge cases: Proactively explain time/space complexity or boundary conditions (null values, scale limits).
  4. Prepare for interviewer follow-ups: Technical hiring panels frequently probe deeper into concurrency, backward compatibility, or alternative libraries.
Related Topics & Skills
Spotted an error or have an alternative solution?