Preparation for a fresher Python developer interview may be tough, but with regular planning, you can be an ideal candidate. Begin by getting proficient in the basics of Python, such as data types, loops, functions, and object-oriented programming. Get practice writing neat, effective code and be familiar with fundamental problem-solving methods. Also, brush up on standard interview questions, learn how to describe your thinking process clearly, and remain current with new Python trends. Practice interviews and hands-on experience can also assist you in gaining confidence and improving your communication skills. Here, we will discuss the top 25 Python interview questions that can be expected by freshers in 2025, along with short descriptions to assist you in preparing well. Let's begin!
Python is a programming language that’s easy to read and write, and it runs your code directly without needing to be compiled first. Python offers support for various programming paradigms such as procedural, object-oriented, and functional programming. Python finds extensive use in web development, data analysis, artificial intelligence, machine learning, automation, and scientific computing.
Python is simple to learn, simple in syntax, and highly readable. Python is dynamically typed, garbage collected, and platform-independent. Python is rich in standard libraries, has strong community support, and is highly flexible and can be used for a variety of applications.
Python 2 & Python 3 are two major versions of Python. Python 3 introduced significant improvements, including better Unicode support, a clearer syntax, and enhanced libraries. It is the preferred version as Python 2 reached its end of life in 2020.
Literals in Python are fixed values assigned to variables. They include numbers, strings, booleans, and special literals like None. Python supports different types of values, such as whole numbers, decimal numbers, complex numbers, text, and true/false values.
In Python, a variable is like a label that points to an object or value. It allows you to store, access, and manipulate data during the execution of a program. Variables in Python are dynamically typed, meaning you don’t need to declare their type.
In Python, a variable is like a label that points to an object or value. It allows you to store, access, and manipulate data during the execution of a program. Variables in Python are dynamically typed, meaning you don’t need to declare their type.
Lists and tuples are both data structures in Python, but lists are mutable, meaning they can be alter after creation, while tuples are immutable and cannot be changed once created.
A function in Python is a reusable block of code that performs a specific task. It helps organize code, improve readability, and reduce redundancy. Functions in Python are explained using the ‘def’ keyword.
The ‘return’ statement is apply to exit a function and pass the result back to the caller. It ends the function execution and can return a single value or a sequence of values.
A module in Python is a file having Python code that can include functions, classes, and variables. It allows users to organize and reuse code efficiently. You can import modules into other programs using the ‘import’ statement.
A local variable is made inside a function and only works while that function is running. A global variable is created outside any function, and you can use it from anywhere in your code.
This line checks whether the Python file is being run by itself or being used in another file. If the script is executed directly, the code under this block will run.
A package in Python is a collection of modules organized in a directory hierarchy. It helps organize related modules and supports code reusability.
Loops in Python let you run the same piece of code over and over again. The two main types are ‘for’ loops and ‘while’ loops.
A dictionary in Python is an unordered collection of key-value pairs. It is defined using curly braces and allows fast data retrieval using unique keys.
A set in Python is an unordered collection of unique elements. It is defined using curly braces and supports mathematical set operations like union, intersection, and difference.
The ‘==’ operator checks if two values are equal, while the ‘is’ operator checks if two variables refer to the same object in memory.
Lambda function is a tiny function you can write in one line, and it doesn’t need a name defined using the ‘lambda’ keyword. It can have any number of arguments but only one expression.
Exception handling in Python is a way to handle runtime errors gracefully using the ‘try’, ‘except’, ‘finally’, and ‘else’ blocks.
A class in Python is like a template you use to create objects with specific features and behaviors. It explains how the objects are built and how they act, using their features and actions.
Object-Oriented Programming (OOP) is a method of coding that uses classes and objects to keep things organized and make it easier to build and manage complex programs. It promotes code reusability, modularity, and easier maintenance.
An iterator in Python is something you can loop through, like a list or a string. It gives you one item at a time when you use iter() to start and next() to get each item.
Polymorphism in Python means you can use different types of objects in the same way if they share a common parent. It lets you write methods in child classes that work differently, even if they have the same name, and lets you change how operators like + or == work for your own classes.
An iterator in Python is something you can loop through, like a list or a string. It gives you one item at a time when you use iter() to start and next() to get each item.
A generator is a special type of function that uses the word yield to give back values one at a time, letting you loop through them without saving everything in memory at once.
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