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Constructors and Destructors in Python (OOP)
In Object-Oriented Programming (OOP), two special methods — constructors and destructors — play key roles in managing the lifecycle of an object. A constructor...
Introduction to Object-Oriented Programming (OOP) in Python
Object-Oriented Programming (OOP) is a programming paradigm that organizes code into reusable and logical structures called classes and objects . It focuses on...
JSON Handling in Python
JSON (JavaScript Object Notation) is one of the most popular data formats used for data exchange between a server and a client. Python provides the built-in...
Regular Expressions in Python
Regular Expressions (RegEx) are powerful tools used to search, match, and manipulate text based on specific patterns. Python provides the re module to work with...
Working with Dates and Time in Python
Working with dates and time is a common requirement in programming — from logging events to scheduling tasks or analyzing time-based data. Python provides...
Comprehensions in Python
Comprehensions in Python provide a concise and elegant way to create new sequences (like lists, sets, or dictionaries) from existing iterables such as lists...
Reading and Writing CSV Files in Python
CSV (Comma-Separated Values) files are one of the most common formats for storing tabular data — like spreadsheets or databases — in plain text form. Each line...
File Handling in Python
File handling is one of the most important aspects of programming. It allows you to store, retrieve, and manage data permanently. In Python , you can easily...
Exception Handling in Python
In Python , errors can occur during program execution, known as exceptions . If not handled properly, these exceptions can terminate your program. Exception...
Modules and Packages in Python
As your Python projects grow, managing code in a single file becomes difficult. To keep your code organized, reusable, and maintainable, Python provides modules...