30 Most Asked Python Interview Questions 2025 | Python Interview Questions And Answers | Intellipaat

Overview of the importance of Python in technical interviews and preparation for common interview questions.

Explaining the reasons for choosing Python as a preferred language, highlighting its features and differences from other languages.

Discussing interpreters, debugging analogies, and usage in Python.

Explaining the differences between lists and tuples, focusing on mutability, performance, and examples.

Differentiating between indexing and slicing in accessing elements of lists or strings.

Explaining list comprehension as a concise way to create lists based on existing ones with conditions or transformations.

Defining the break and continue statements in Python with analogies for better understanding.

Clarifying the purpose of the pass statement in Python for filling empty blocks without causing errors.

Understanding scope as the area where variables or functions are accessible and explaining negative indexes usage.

Exploring different methods for copying objects in Python, including assignment, shallow copy, and deep copy.

Clarifying the usage of star, args, and double star keywords in Python functions for handling variable arguments and keyword arguments.

Describing how arguments are passed by value or reference in Python and the impact on mutable and immutable objects.

Introducing lambda functions as small anonymous functions in Python for concise code implementation.

Discussing exception handling in Python using try, except, and finally blocks to manage errors efficiently.

Explaining memory management in Python, including garbage collection, reference counting, and memory optimization.

Comparing lists, sort, and sorted methods in Python, highlighting their differences, mutability, and return values.

Distinguishing between compile-time and runtime errors in Python and discussing their occurrence and handling.

Explaining generators and decorators separately, focusing on their individual functionalities and advantages in Python.

Differentiating abstraction as hiding complexity and encapsulation as restricting access, with real-life and code examples in Python.

Comparing method overriding and overloading for achieving polymorphism in object-oriented programming, with implementation examples in Python.

Explaining inheritance in Python, emphasizing code reuse and accessing features from parent classes to child classes with a code example.

Explanation of using the self keyword in methods and attributes in Python classes, with a real-world example of employees.

Explanation and examples of class methods, static methods, and instance methods, including their differences and use cases.

Overview of set and dictionary data structures, highlighting their properties, differences, and common use cases.

Explanation of time complexity for inserting elements in a linked list based on different insertion scenarios.

Explanation of finding the middle element in a linked list using the two-pointer approach, with details on the logic and implementation.

Explanation of the problem, brute-force approach, and optimized two-pointer method to find the longest substring without repeating characters in a string.

Overview of the 01 knapsack problem, dynamic programming approach, and explanation of the optimized solution.

Explanation of the asteroid collision problem, including the logic and implementation using a stack and comparison method.