Python is a versatile,high-level programming language known for its simplicity, readability, and extensive standard library. It supports multiple programming paradigms and is widely used in various fields, from web development to scientific computing.
Python's key features include dynamic typing, easy-to-understand syntax, automatic memory management, and a rich standard library. It supports object-oriented, functional, and procedural programming, making it adaptable to different coding styles.
Python is well-suited for a wide range of applications, including web development (with frameworks like Django and Flask),data analysis and visualization (with tools like NumPy and Matplotlib), scientific computing, automation, artificial intelligence, and more.
Yes, Python is platform independent. Code written in Python can be executed on various operating systems without modification, thanks to its interpreters available for different platforms.

Yes, Python is case-sensitive. Variables, functions, and class names with different letter cases are treated as distinct entities.
Scope in Python defines the region where a variable is accessible. It can be local (within a function), global (across the module), or built-in (part of Python's standard library).
Lambda in Python is an anonymous function defined using the lambda keyword. It is often used for short, one-time operations where writing a full function is unnecessary.
In Python, self refers to the instance of a class. It is used within class methods to access attributes and methods of the instance itself.
Slicing in Python involves extracting a portion of a sequence (like a list, string, or tuple) using thecolon (:) notation. It provides a concise way to manipulate and retrieve parts of sequences.
Python is a dynamically typed language, meaning you don't need to declare variable types explicitly. The type of a variable is determined at runtime based on the assigned value.
__init__ is a special method in Python classes, often referred to as the constructor. It is automatically called when a new instance of the class is created and is used to initialize attributes and perform setup operations.
Memory management in Python is handled by its built-in memory manager. It employs techniques like reference counting and agarbage collector to manage memory allocation and deallocation, ensuring efficient memory usage.
Last Updated : 02 Jan 2024