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 a thorough research.

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

However, it’s entirely possible that you already know some of them. But we think you would still benefit from reading. It’s because we made sure that the answers are brisk and pertinent.

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

These interview questions would not only back your preparation but give you a way out to test your knowledge. You can continue reading tutorial by tutorial but will get dried up in the end.

That’s why we formulated this list of Python programming interview questions so that you can test your skills and could feel a bit refreshed.

Let’s begin learning Python programming.

Before diving into the questions, let’s first look at some of the cool facts about Python.

10 Interesting facts about Python.

You can also read these as the “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 check out the interview questions and answers section.

Python Programming Interview Questions – Part1.

Python Programming Interview Questions for Freshers

Question: What are the core default modules available in Python? List down a few of them.

Ans.

1. email – Help to parse, handle, and generate email messages.
2. string – Contains functions to process standard Python strings.
3. sqlite3 – Provides methods to work with the SQLite database.
4. XML – Enables XML support.
5. logging – Adds support for log classes and methods.
6. traceback – Allows to extract and print stack trace details.

 

Question: Why is __init__.py module used for?

Ans.

The __init__.py module can help in fulfilling following objectives.

1. It makes Python interpret directories as containing packages by excluding the ones with a common name such as string.

2. It grants a programmer with the control to decide which directory is a package and which is not.

3. However, __init__.py can also be an empty file. It can then help in executing the initialization code for a package or setting the __all__ variable.

 

Question: What is a negative index in Python?

Ans.
In Python, we can access both arrays & lists using a positive or negative numbers (aka index). A negative index reads the list elements from the end counting in the backward direction. Check out from the example given below.

 

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

Ans.

Pickling is a process by which a Python object get converted into a string via a pickle module. The process then puts it into a file by calling the dump() method.

Whereas unpickling does the reverse of the above-said process. It retrieves the stored string and turns it back into an object.

 

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

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

 

Question: What are the different ways to generate random numbers in Python?

Ans.

 

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

Ans.
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?

Ans.
Iterators in Python enables to traverse containers like a list or a set of elements. For a container to support iterator, it must provide the __iter__() method.

 

Question: What are generators in Python?

Ans.
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 will you run a subprocess or an external program with arguments in Python?

Ans.
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 the duplicate elements from the given list?

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

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

But the best solution which we 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: How will you print the sum of numbers starting from 1 to 100 (inclusive of both)?

Ans.

 

Question: What is the best approach to store a list of an employee’s first and last names?

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

 

Question: Does Python allow arguments Pass by Value or Pass by Reference?

Ans.
Neither the arguments are Pass by Value nor does Python supports Pass by reference. Instead, they are Pass by assignment.

The parameter which you pass is originally a reference to the object not the reference to a fixed memory location. But the reference is passed by value. Additionally, some data types like strings and tuples are immutable whereas others are mutable.

 

Question: What are the different methods Python provides for copying an object?

Ans. We can either use a “Shallow Copy” or follow a “Deep Copy” approach.

Shallow Copy method.

The content of an object (say dictionary) doesn’t get copied by value but by creating a new reference.

Deep Copy method.

It copies all the contents by value.

 

Question: How will you convert a string to a number in Python?

Ans.
Python provides the int() method, a standard built-in function to convert a string into an integer value.

You can call it with a string containing a number as the argument, and it returns the number converted to an actual integer.

 

Question: How will you set a global variable inside a function?

Ans.
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 will you share global variables across modules?

Ans.
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: Python 3 introduced the builtins keyword as a replacement for the __builtin__.

 

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

Ans.

Yes. PyChecker is a static analysis tool. It finds bugs in the source code and raises alerts for the issues in code complexity or style.

Pylint is another tool that checks if a module meets the coding standard. It also supports additional plug-ins to enable custom features.

 

Question: How can you perform unit testing in Python?

Ans.
Python packages 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.

 

May the post would have met your expectations. If you indeed find it useful, then let it spread through your social circles.

If you like to submit an idea for a post or share any feedback, then don’t mind using the comment box.

We would love to hear from you. And we’ll soon back with second part of Python programming interview questions.

All the Best,

TechBeamers.

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