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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.
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In this article, we’ll discuss advanced Python interview questions and answers for fresher and experienced developers.
We’ll look at:
- Advanced Python Interview Questions and Answers
- Sample Advanced Python Interview Questions for Practice
- FAQs on Advanced Python Interview Questions
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: What’s the main difference between local and global namespaces?
The major difference between local and global namespace is as follows:
Q3: Differentiate between exception handling in Python and Java.
The differences between exception handling in Python and Java are as follows:
Learn what is type() and isinstance() in Python here.
Q4: 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.
Know How to Find the Length of a String in Python here.
Q5: Differentiate between instance and class variables?
The difference between instance and class variable is as follows:
Check some more Python Interview Questions here.
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.
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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