Python Programming Interview Questions for Beginners

Today we are going to present you Part-1 of top 20 Python programming interview questions. We’ve prepared this list after an exhaustive research.

The criteria for selection was to add questions which are feasible for both test engineers and Python developers.

However, It’s certainly possible that you already know some of the questions. Still, we think that you would find them useful. It’s because we made sure that the answers are brisk and pertinent.

If you even have a basic python knowledge, these questions would help you greatly to improve Python skills. However, if you want to taste the slice of some advanced Python tricks, then read the top 10 Python coding tips available on our blog.

The another perspective is that you can’t continue reading tutorial by tutorial. You get dried up reading same thing again and needs a little refreshment. This list of Python programming interview questions is designed to test your Python skills and will make you feel refreshed.

Python programming interview questions Part-1

Python programming interview questions Part-1.

First of all, let’s look into some of the cool facts about Python before diving into the sea of questions and answers.

These facts are popularly known as the “5 facts about python programming language” or “Top 5 Reasons to Learn Python“.

5 General facts.

  • It was Sir Guido Van Rossum who wrote the Python programming language and released it in 1991.
  • Guido named the language after his favorite comedy opera the “Monty Python’s Flying Circus”.
  • Python is also one of the formally used languages at Google.
  • The BitTorrent software was originally written in Python.
  • It is one of the languages that has an “Else” clause for “For” loops.

5 Technical facts.

  • Python is object oriented. It makes object oriented programming a lot easier to use.
  • Python is reusable. Programmers can save their work in the form of a module which can be used in any other program.
  • Python is portable. It can run on multiple platforms with a similar interface.
  • Python has a rich standard library. It is termed as it’s the biggest strength.
  • Python has a dynamic runtime environment. It prevents segfaults that cause memory access errors.

Let’s now open the Python programming interview questions series Part-1.

Python Programming Interview Questions – Part1.

Question: List down some of the core default modules available in Python?


  • email – used to parse, handle, and generate email messages.
  • string – an index of types of strings, such as all capital or lowercase letters.
  • sqlite3 – used to deal with the SQLite database.
  • XML – provides XML support.
  • logging – creates logging classes to log system details.
  • traceback – allows you to extract and print stack trace details.


Question: Why is used for?

The files are required to make Python interpret directories as containing packages.
It is mainly to prevent directories with a common name being treated as packages. This permits the programmer control which directories are packages and which are not.
Moreover, can just be an empty file too. But it can also execute initialization code for the package or set the __all__variable.


Question: What is a negative index in Python?

Python arrays & list items can be accessed with positive or negative numbers (aka index). A negative index accesses the list elements from the end counting backward.


Question: What is Pickling and how does it different from Unpickling?

Pickling is a process by which a Python object is converted into a string by a pickle module. It is then placed into a file with the dump() function. Whereas Unpickling refers to the reverse process, in which the stored string is retrieved and turned back into an object.


Question: What is slicing in Python? Explain with example.

Slicing in Python is a mechanism to select a range of items from Sequence types like strings, list, tuple, etc.


Question: Describe a few ways to generate random numbers in Python.



Question: Why is the “pass” keyword used for in Python?

The “pass” keyword is a no-operation statement in Python. It signals that no action is required. It works as a placeholder in compound statements which are intentionally left blank.


Question: What are iterators in Python?

Iterators in Python are used to iterate over a group of elements, containers, like lists. For a container to support iterator, it must provide __iter__().


Question: What are generators in Python?

Generators are a way of implementing iterators. A generator function is a normal function except that it contains yield expression in the function definition making it a generator function.
This function returns a generator iterator known as a generator. To get the next value from a generator, we use the same built-in function as for iterators: next(). next() takes care of calling the generator’s __next__() method.


Question: How do I run a subprocess or an external program with arguments in Python?

There are two methods which can run a subprocess or external programs. First is to use the subprocess module in the stdlib.

The advantage of subprocess vs system is that it is more flexible. You can get the stdout, stderr, the “real” status code and better error handling. The second approach to run a program with arguments is as follows.


Question: How will you remove duplicate elements from the given list?

words = [‘one’, ‘one’, ‘two’, ‘three’, ‘three’, ‘two’]

A simple solution is to iterate over the list, identify duplicates and remove them.

But the best solution which I can recommend is as follows.

The set is another type available in Python. It doesn’t allow copies and provides some good functions to perform set operations like union, difference etc.


Question: Print the sum of digits for numbers starting from 1 to 100 (inclusive of both).



Question: Suggest the best way to store a list of employee first and last names?

A list of first and last names is best stored as a list of dictionaries. The following format can be used.


Question: Do the arguments Pass by Value or Pass by Reference in Python?

Arguments are passed neither by value and nor by reference in Python. Instead, they are passed by assignment.

The parameter passed in is actually a reference to an object, as opposed to the reference to a fixed memory location. But the reference is passed by value. In addition, some data types (like strings, tuples etc.) are immutable whereas others are mutable.


Question: How do I copy an object in Python?

By “shallow copying” it means the content of the dictionary is not copied by value, but just creating a new reference.

In contrast, a deep copy will copy all contents by value.


Question: How do I convert a string to a number?

int() is the Python standard built-in function to convert a string into an integer value. You call it with a string containing a number as the argument, and it returns the number converted to an actual integer:


Question: How do you set a global variable in a function?

You can use a global variable in other functions by declaring it as global in each function that assigns to it:

I imagine the reason for it is that, since global variables are so dangerous, Python wants to make sure that you really know that’s what you’re playing with by explicitly requiring the global keyword.


Question: How do I share global variables across modules?

If you add a variable to the __builtin__ module, it will be accessible as if a global from any other module that includes __builtin__ — which is all of them, by default.

Note: Please note that __builtin__ has been renamed to builtins in python3.


Question: Is there a tool to help find bugs or perform the static analysis?

Yes. PyChecker is a static analysis tool that finds bugs in Python source code and warns about code complexity and style.
Pylint is another tool that checks if a module satisfies a coding standard, and also makes it possible to write plug-ins to add a custom feature.


Question: How do you perform unit testing in Python?

Python provides a unit testing framework called “unittest“. It supports the following features.

  • Automation testing.
  • Sharing of setup and shutdown code for tests.
  • Aggregation of tests into collections.
  • Independence of the tests from the reporting framework.

Summary – Python Programming Interview Questions.

We wish that the Python programming interview questions would have helped you. We’ve not brought in any rocket science in the questions. But the questions are still quite useful to test what you know and guide you to perform better. Since this is not the end to knowledge sharing, please visit official Python site for more info.

Before we conclude this post, we would love to know from you if you have a better answer for any of the questions. If yes, please share it in the comment section. Your reply would help us immensely. And other readers would also get to see a fresh approach.

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Enjoy reading and keep visiting!

-All the Very Best,



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