Python Programming Interview Questions

Python is a high-level, interpreted, dynamically typed programming language known for its simplicity and readability.

Easy syntax, interpreted, dynamically typed, object-oriented, extensive libraries, and cross-platform support.

Python is interpreted; code is executed line by line by the Python interpreter.

PEP 8 is the official style guide for writing clean and readable Python code.

int, float, complex, str, list, tuple, set, dict, and bool.

Lists are mutable; tuples are immutable.

A dictionary stores data as key-value pairs.

A collection of unordered, unique elements.

Variable types are determined at runtime, not at compile time.

Indentation defines code blocks and is mandatory in Python.

A reusable block of code that performs a specific task.

An anonymous single-expression function defined using the lambda keyword.

A concise way to create lists using expressions and loops.

A file containing Python code such as functions and variables.

A collection of related Python modules.

Python supports OOP concepts like classes, objects, inheritance, and polymorphism.

A blueprint for creating objects.

An instance of a class.

Allows a class to acquire properties of another class.

Ability of different objects to respond differently to the same method.

Restricting access to data using access modifiers.

Hiding internal implementation details.

A constructor method that initializes object data.

Represents the current object of a class.

Handling runtime errors using try, except, else, and finally.

Code that always executes whether exception occurs or not.

Reading and writing files using open(), read(), write(), close().

Ensures proper resource management like file closing.

A function that yields values using yield keyword.

Generators are easier to implement and use yield.

Executing multiple threads simultaneously.

Global Interpreter Lock ensures only one thread executes Python bytecode at a time.

Running multiple processes to achieve parallelism.

A function that modifies another function’s behavior.

Applies a function to all items in an iterable.

Filters elements based on a condition.

Applies rolling computation to reduce iterable to single value.

Copies references of objects.

Creates completely independent copies of objects.

Mutable objects can change; immutable objects cannot.

Represents absence of a value.

Acts as a placeholder where a statement is required.

break exits loop; continue skips current iteration.

Combines multiple iterables into tuples.

Returns index and value from iterable.

Used to pass variable number of arguments.

Isolated environment for managing project dependencies.

Python package installer.

Ensures code runs only when file is executed directly.

Python is dynamically typed and simpler; Java is statically typed and faster at runtime.