Introduction

Python is an object-oriented, high-level, interpreted programming language. It is designed to be a highly readable language. It is very easy to learn the source code of this language as it uses English keywords frequently, whereas other languages use punctuation. Moreover, it is a language with fewer syntactical constructions as compared to other programming languages.

Various applications of python are:

• Easy-to-learn
• Easy-to-read
• A broad standard library
• Interactive mode
• Portable
• Extendable
• Scalable

This article will discuss the interview questions related to python programming language from beginner to advanced level.

Python Interview Questions for Beginners

1. Explain Python programming language?
2. List the Benefits of python?
3. Why python is a dynamically typed language?
4. Explain “Python is an interpreted language”?
5. Do you know about PEP 8, and why is it important?
6. Explain the scope in python?
7. Define Lists and tuples?
8. Explain the key difference between List and tuples?
9. Name the common built-in data types in python?
10. What is pass in Python?
11. What are packages and modules in python?
12. Explain global, protected, and private attributes in Python?
13. Highlight the use of self in Python?
14. What is “init”?
15. Explain break, continue, and pass in python?
16. What are unit tests in python?
17. What is docstring in Python?
18. What is slicing in python?
19. Write the syntax to make the Python Script executable on Unix?
20. What is the key difference between Python Arrays and lists?
21. Is python a case-sensitive language?
22. For how long an identifier be in Python?
23. How will you convert a string into lowercase?

Python Interview Questions for Experienced

1. Explain how memory is managed in Python?
2. Explain Python namespaces and their uses?
3. What is Scope Resolution in Python?
4. What are decorators in Python?
5. What are Dict and List comprehensions?
6. Define lambda in Python? What are its uses?
7. How will you copy an object in Python?
8. Highlight the difference between xrange and range in Python?
9. Define unpickling and pickling in pyhton?
10. What are generators in Python?
11. List the uses of help() and dir() functions?
12. What is the difference between .py and .pyc files?
13. Explain how arguments are passed by value and passed by reference in python?
14. What are iterators in Python?
15. How to delete a file in Python?
16. Discuss the use of split() and join() functions in Python?
17. What do you know about **kwargs and *args in context with a python programming language?
18. Define negative indexes and their uses?
19. How to remove a duplicate element from a list in python?
20. Explain the life cycle of a thread?
21. Explain the purpose of bytes() in Python?

Python OOPS Interview Questions

1. How will create a class in Python?
2. Explain the concept of inheritance in Python with an example?
3. How will you access parent members in the child class?
4. Does Python make use of Access specifiers?
5. Is it possible to call a parent class without creating its class?
6. How will you create an empty class in python?
7. Mention the key difference between new and override modifiers?
8. Why do we use finalize method in Python?
9. Explain the ‘init’ method in Python?
10. Name the method used to check if a class is a child of another class?

Python Pandas Interview Questions

1. Explain pandas with reference to Python programming language?
2. Define pandas dataframe?
3. How will combine different pandas DataFrame?
4. Is it possible to create a series from the dictionary object in pandas?
5. How to identify the missing values in DataFrame? How to handle such a situation?
6. Define reindexing in pandas?
7. Write a code to add a new column to pandas DataFrame?
8. How to delete indices from a DataFrame?
9. How to delete rows and columns from a dataframe?
10. Is it possible to access the items available in series A that are not available in series B?
11. How do you access those items that are not common to both series A and B?
12. When we import data from different sources, does the pandas library recognize dates?

Numpy Interview Questions

1. What do you know about Numpy?
2. List the various reasons for using Numpy arrays over python lists?
3. Write the code to create 1D, 2D, and 3D arrays?
4. You are provided with a NumPy array and a new column as inputs. How will you delete the second column? How to replace the column with a new column value?
5. Name the method that is used to efficiently load data from a text file?
6. How to read CSV data into an array in Numpy?
7. Sort the array based on the Nth column?
8. How will find the nearest value in a given NumPy array?
9. Write a one-line code to reverse the Numpy array?
10. Write the code to find the shape of any given NumPy array?

Python Libraries Interview Questions

1. Differentiate between a module and a package in python?
2. Name the most commonly used built-in modules in Python?
3. Explain Lambda functions?
4. How to generate random numbers in Python?
5. Is it possible to check if all the characters in the given string are alphanumeric?
6. Define Global Interpreter Lock?
7. Define Pythonpath?
8. Define PIP?
9. Is there any tool available in python for identifying bugs?
10. Name the tool used for performing static analysis in python?
11. Differentiate between deep and shallow copies?
12. What is the main function in python?
13. How to invoke the main function in python?

Python Programming based Interview Questions

1. Write a function in python that takes a variable number of arguments?
2. Write a program that takes a sequence of numbers as input and checks if all numbers are unique?
3. Write a program for counting the number of every character of a given text file?
4. Perform a palindrome check over a string without using the iterative method?
5. Write a program to execute the Bubble sort algorithm?
6. Write a program to produce Star triangle in python?

Advanced level Python Interview Questions

1. Explain monkey patching in python?
2. Explain Regression in Python?
3. Explain Classification in Python?
4. Is it possible to split the data in train and test dataset in python? If yes, how?
5. What is a Support Vector Machine?
6. Write the easiest way to calculate percentiles in python?