Top Advanced Python Interview Questions and Answers

Python is one of the most popular and widely used programming languages. A vast majority of developers rely on this programming language for their development needs. Asking advanced Python interview questions is a way for the hiring managers to judge your knowledge and expertise in Python.

They also check your experience of using Python and determine if you have the skill sets required by the organization. By asking such questions, the interviewers can gauge your ability to use the programming language and how well you have used it at your previous workplaces. 

In this article, we highlight some of the commonly asked advanced Python interview questions and how to answer them. This article will help you develop strategies to ace the interview by correctly answering the questions and showcasing your capabilities.

Advanced Python Interview Questions and Answers

Q1. If a Function Doesn’t Have a Return Statement, is it Valid?

Yes, it is valid. By default, all the functions in Python return the particular value “None” unless an explicit return statement is present to return a value that’s not “None”.

Learn Python Exit Commands here.

Q2. Describe Compile-Time and Run-Time Code Checking in Python.

Compile-time and run-time code checking is done uniquely in Python and involves first checking a small portion during compile-time checking. Then most other checks like name and type checks happen only during code execution. So referencing a non-existent function in your Python code will still lead it to successful compilation. But your code will fail with an exception only during code execution when the code execution path references the non-existent function.

Q3. Differentiate Between Instance and Class Variables?

The difference between instance and class variable is as follows:

Sample Advanced Python Interview Questions for Practice

Here are some frequently asked Python advanced interview questions that you can practice to level up your interview preparation:

Advanced Python Interview Questions for Experienced Developers

• Define and describe:
  • Lambda form
  • Pickling
  • Python
  • Dynamically typed language
  • Interpreted language
  • Scope
  • PEP 8
  • Lists
  • Tuples
  • Dictionary
  • Pass
  • Module
  • Package
  • try
  • except
  • raise
  • finally
  • Namespace
  • Inheritance
• What are the advantages of using Python?
• What are the disadvantages of using Python?

Advanced Python Programming Interview Questions

• Name and explain the following in Python:
  • Different types of sequences
  • Common built-in data types
• How will you:
  • Copy an object in Python
  • Convert a string to a number
  • Send an email from a Python Script 
• Why is PEP 8 important?
• Explain how Python is executed.
• How do we pass arguments by value or reference?
• Differentiate between .py and .pyc files.
• How would you randomize a list’s items in place?
• Describe the correct usage of error handling in Python.

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FAQs on Advanced Python Interview Questions

Q1. What are Some Key Features of Python?

Some key features of Python are that it’s: easy to code, free, open-source, interpreted, high-level and integrated, object-oriented, portable, dynamically typed, extensible, and offers GUI programming support.

Q2. What are Keywords in Python?

Reserved and predefined words with special meanings used to define the coding syntax are called keywords in Python. Except for True and False, we always write these keywords in Python in lowercase. They can also not be used as variable, function, or identifier names.

Q3. What are the Applications of Python?

Python has several applications, including business, scientific, numeric, web, audio/video-based, software development, desktop GUI, console-based, and 3D CAD applications.

Q4. What are the Advantages of Python?

Python has English-like syntax, is concise, object-oriented, high-level, interpreted, free, and open source. Hence, Python is easy to learn, access, and write code in. Also, Python code is more readable, portable, and maintainable, and Python offers vast library support. No wonder then that Python improves the productivity of software developers and makes the process of software development smoother.

Q5. How many Data Types are There in Python?

Python has five standard data types:

• String
• Numbers
• Tuple
• List
• Dictionary

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