It's always helpful to know what kind of advanced Python interview questions to expect during your coding interview. This article provides some Python advanced interview questions and answers to help you prepare for your interview, as well as a list of sample Python advanced interview questions to help you gauge your preparation level.
If you are preparing for a tech interview, check out our technical interview checklist, interview questions page, and salary negotiation ebook to get interview-ready! Also, read Amazon Coding Interview Questions, Facebook Coding Interview Questions to Nail Your Next Interview, and Google Coding Interview Questions for specific insights and guidance on Coding interview preparation.
Having trained over 9,000 software engineers, we know what it takes to crack the most challenging tech interviews. Since 2014, Interview Kickstart alums have landed lucrative offers from FAANG and Tier-1 tech companies, with an average salary hike of 49%. The highest ever offer received by an IK alum is a whopping $933,000!
At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.
Want to nail your next tech interview? Sign up for our FREE Webinar.
In this article, we’ll discuss advanced Python interview questions and answers for fresher and experienced developers.
We’ll look at:
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.
The main difference is that the creation of Global namespaces occurs when the program begins, while local namespaces are created within a function when that function is called.
In Java, we can do exceptional handling using these five keywords: try, catch, throw, throws, and finally. On the other hand, Python has its own method for exception handling, and we can use the block <try-except> to handle exceptions. The <try-except> block can help you check error details without program termination and may also offer suggestions for fixing the error.
Learn what is type() and isinstance() in Python here.
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.
Know How to Find the Length of a String in Python here.
Check some more Python Interview Questions here.
Here are some frequently asked Python advanced interview questions that you can practice to level up your interview preparation:
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, and Dictionary.
Whether you’re a coding engineer gunning for a software developer or software engineer role, a tech lead, or you’re targeting management positions at top companies, IK offers courses specifically designed for your needs to help you with your technical interview preparation!
If you’re looking for guidance and help with getting started, sign up for our FREE webinar. As pioneers in the field of technical interview preparation, we have trained thousands of software engineers to crack the most challenging coding interviews and land jobs at their dream companies, such as Google, Facebook, Apple, Netflix, Amazon, and more!