Python provides the datetime and time modules to handle dates, times, and timestamps. These operations are crucial for time-based calculations, scheduling tasks, logging events, and working with APIs. from datetime…

JSON (JavaScript Object Notation) is a lightweight data format commonly used for data exchange between systems. Python’s json module allows you to parse, serialize, and manipulate JSON data efficiently. JSON…

Regular expressions (regex) in Python allow you to search, match, and manipulate text based on patterns. They are powerful for string validation, data extraction, and text processing. Python provides the…

File handling in Python allows you to read from and write to files, making it possible to store, retrieve, and process data. Python provides built-in functions and modes for file…

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__()…