In Python, exceptions are errors that occur during program execution. Exception handling allows you to catch and manage errors gracefully without crashing the program. Python provides the following constructs: try:…

Python provides a collection of built-in functions that are always available without importing any module. These functions help perform common tasks quickly, such as type conversions, mathematical operations, input/output, and…

In Python, modules and packages help you organize code logically. Module: A single Python file (.py) containing functions, classes, or variables Package: A collection of modules inside a directory with…

Context managers in Python provide a way to allocate and release resources precisely when needed. They are used with the with statement to automatically handle setup and cleanup, reducing the…

Decorators in Python are functions that modify the behavior of other functions. Sometimes, you may want to pass parameters to a decorator to customize its behavior. This is done by…

Both generators and iterators in Python are used to traverse data lazily, producing items one at a time instead of storing them in memory. Iterator: Any object that implements __iter__()…

In Python, iterators are objects that allow you to traverse through elements of a collection one at a time. They are used with loops or functions like next() to access…

Set comprehensions in Python provide a concise way to create sets using a single line of code. They are similar to list and dictionary comprehensions but produce unordered collections of…

Dictionary comprehensions in Python provide a concise way to create dictionaries using a single line of code. They combine loops and optional conditions, making code shorter, readable, and efficient. Instead…

List comprehensions in Python provide a concise way to create lists using a single line of code. They combine loops and conditional statements, making code shorter, readable, and efficient. Instead…