10 Simple Python Programming Language Interview Questions

Below are 10 simple Python Programming Language questions which can be asked in a Python Related job interview.

Q. 1 – Is Python Object Oriented?

Yes, Python is an object oriented programming language as it can deal with classes and objects.

Q. 2 – Is Python Case sensitive?

Yes, Python is a case sensitive programming language. It considers variable name num and NUmber differently.

Q. 3 – What kind of language is Python?

Python is an interpreted programming language, which firstly is interpreted and then compiled to C Code which further boils down to byte code which ultimately is executed on hardware.

Q. 4 – Explain Different implementations of Python.

  1. CPython => Written as C programming language code
  2. Stackless Python => An addition to CPython to support micro threads
  3. PyPy => It’s an on-time compiler meaning code is executed line by line, rather than first compiling
  4. Jython => It compiled Python into Java Code, which then is executed by Java Virtual Machine(JVM)
  5. IronPython => An environment for running Python in .NET common language runtime

Q. 5 – Is Python loosely typed?

Yes, Python is loosely typed as the same variable can hold different data at different points of time. For example – Some variable num = 10 at some point, num = “Ten” at some other point in code.

Q. 6 – How to start a new block in Python?

A new block begins when the line is intended by 4 spaces.

Q. 7 – How to get data type of a particular variable in Python?

Python’s type function can be used for getting the data type of a variable. For example – If a = 10 and then type(a) will print out class int.

Q. 8 – How many ways can Python program be run?

Python programs can be run using IDLE which is the integrated IDE or it can also be run from outside using python.exe in windows or python.sh in UNIX/LINUX based environment.

Q. 9 – Explain importance of Pylint and Pychecker.

Pylint is used to check coding standards
Pychecker is a static analysis tool that helps find out bugs in source code

Q. 10 – Explain Zen of Python.

Long time Pythoneer Tim Peters succinctly channels the BDFL’s guiding principles for Python’s design into 20 aphorisms, only 19 of which have been written down.

The Zen of Python

  • Beautiful is better than ugly.
  • Explicit is better than implicit.
  • Simple is better than complex.
  • Complex is better than complicated.
  • Flat is better than nested.
  • Sparse is better than dense.
  • Readability counts.
  • Special cases aren’t special enough to break the rules.
  • Although practicality beats purity.
  • Errors should never pass silently.
  • Unless explicitly silenced.
  • In the face of ambiguity, refuse the temptation to guess.
  • There should be one– and preferably only one –obvious way to do it.
  • Although that way may not be obvious at first unless you’re Dutch.
  • Now is better than never.
  • Although never is often better than *right* now.
  • If the implementation is hard to explain, it’s a bad idea.
  • If the implementation is easy to explain, it may be a good idea.
  • Namespaces are one honking great idea – let’s do more of those!


Hi, there I'm founder of ComputerScienceHub(Started this to bring useful Computer Science information just at one place). Personally I've been doing JavaScript, Python development since 2015(Been long) - Worked upon couple of Web Development Projects, Did some Data Science stuff using Python. Nowadays primarily I work as Freelance JavaScript Developer(Web Developer) and on side-by-side managing team of Computer Science specialists at ComputerScienceHub.io

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