Python Programming Freshers Come Across These Questions In Their Job Interviews


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Python is a valuable investment for anyone interested in programming, data analysis, or machine learning, and can help pave the way for a rewarding and fulfilling career in Python programming. Being a Python professional can be rewarding in two ways:-

1) Job opportunities: Python is widely used in the tech industry, and proficiency in Python can open up many job opportunities, including roles in data science, machine learning, web development, and more.

2) Better Productivity: Python’s syntax is designed to be easy to read and write, which can make development faster and more efficient. Additionally, Python’s large library of modules and frameworks can help developers quickly build complex applications.


In this blog, we will be talking about the most frequently asked questions Python professionals come across during their job interviews.

1) What is Python?
Python is a high-level, interpreted, and general-purpose programming language used for web development, scientific computing, data analysis, artificial intelligence, and other applications.

2) What are the advantages of using Python?
Python is easy to learn and read, has a vast standard library, supports multiple programming paradigms, has a large developer community, and can be used for a wide range of applications.

3) What are the differences between Python 2 and Python 3?
Python 3 is the latest version of Python and has many improvements over Python 2. Some of the significant differences include changes in print statement syntax, division operator behavior, string handling, and Unicode support.

4) How do you install Python on your system?
You can download Python from the official website and run the installer for your operating system.

5) What are the data types in Python?
Python has several built-in data types, including integers, floating-point numbers, complex numbers, strings, booleans, and sequences (lists, tuples, and ranges).

6) What are the control structures in Python?
Python has several control structures, including if-else statements, for loops, while loops, break, continue, and pass statements.

7) What are Python modules?
Python modules are files containing Python code that can be reused in other Python programs. They can be imported using the import statement.

8) What is a Python package?
A Python package is a directory containing multiple Python modules and an file. It can be imported as a single entity using the import statement.

9) What is PEP 8?
PEP 8 is a style guide for writing Python code. It includes recommendations on formatting, naming conventions, and other coding practices.

10) What is a virtual environment in Python?
A virtual environment is a self-contained Python environment that allows you to install packages without affecting the global Python installation.

11) What is the difference between a list and a tuple in Python?
Lists are mutable (can be changed), while tuples are immutable (cannot be changed). Lists use square brackets [], while tuples use parentheses ().

12) How do you create a dictionary in Python?
A dictionary is created using curly braces {} and consists of key-value pairs separated by colons. For example, {‘apple’: 2, ‘banana’: 3, ‘orange’: 4}

13) What is the difference between a shallow copy and a deep copy in Python?
A shallow copy creates a new object but references the same memory as the original object, while a deep copy creates a new object with its memory.

14) What is a lambda function in Python?
A lambda function is a small anonymous function that can be defined in one line of code. It is used for short, throwaway functions.

15) What is a decorator in Python?
A decorator is a function that takes another function as input and extends its functionality without modifying its code. It is indicated by the @ symbol.

16) How do you handle exceptions in Python?
Exceptions can be handled using try-except blocks. The code inside the try block is executed, and if an exception occurs, the code inside the except block is executed.

17) What is a generator in Python?
A generator is a special type of function that can be used to create iterators. It yields values one at a time, allowing the code to continue executing in between.

18) What is the difference between a list comprehension and a generator expression?
A list comprehension creates a list, while a generator expression creates a generator object. List comprehensions are evaluated eagerly, while generator expressions are evaluated lazily.

19) What is a set in Python?
A set is an unordered collection of unique elements. It is created using curly braces {} or the set() constructor.

20) What is a dictionary in Python?
A dictionary in Python is an unordered collection of key-value pairs. It is similar to a hash table or a map in other programming languages.

21) What is the difference between a module and a package in Python?
A module in Python is a single file containing code, while a package is a collection of related modules grouped in a directory.

22) What is a function in Python?
A function in Python is a block of code that performs a specific task. It can take inputs, called parameters, and return a result.

23) What is the difference between a function and a method in Python?
A function in Python is a block of code that performs a specific task, while a method is a function that is associated with an object.

24) What is object-oriented programming in Python?
Object-oriented programming in Python is a programming paradigm that uses objects to represent and manipulate data. It is based on the concepts of classes and objects.

25) What is a class in Python?
A class in Python is a blueprint for creating objects. It defines a set of attributes and methods that are common to all objects of that class.

26) What is an object in Python?
An object in Python is an instance of a class. It contains the data and behavior defined by the class.

27) What is inheritance in Python?
Inheritance in Python is a mechanism that allows a new class to be based on an existing class. The new class inherits the attributes and methods of the existing class and can add new attributes and methods of its own.


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