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datetime Module

The datetime module in Python provides classes for manipulating dates and times. It offers a comprehensive set of tools for handling various date and time-related operations. Core Classes Key Functions Common Operations Additional Features By effectively using the datetime module, you can handle a wide range of date and time-related tasks in your Python applications. … Read more

Working with Dates and Times

Python offers a robust datetime module for handling dates, times, and time intervals. This module provides classes and functions to manipulate date and time information effectively. Core Classes and Functions Creating Date and Time Objects Python Formatting Dates and Times The strftime() method is used to convert a datetime object into a formatted string: Python … Read more

Using the re Module

The re module in Python provides functions for working with regular expressions. It allows you to match, search, replace, and split text based on patterns. Basic Usage Python Common Functions Example: Python Match Object The re.search() and re.match() functions return a match object if there is a match. This object contains information about the match, … Read more

Introduction to Regular Expressions

Regular expressions (often shortened to regex or regexp) are sequences of characters that define a search pattern. They are used to match, locate, and manipulate text strings. What are Regular Expressions Used For? Basic Components Example Python In this example: Key Points By understanding these fundamentals, you can start using regular expressions to solve various … Read more

Regular Expressions

Regular expressions (regex or regexp) are sequences of characters that define a search pattern. They are used to match, locate, and manipulate text strings. Basic Components Common Metacharacters Example: Python Key Points Read More..

Advanced Topics

Advanced Topics in Object-Oriented Programming (OOP) While the core principles of OOP (encapsulation, inheritance, polymorphism, and abstraction) provide a solid foundation, several advanced concepts enhance the power and flexibility of object-oriented programming. Design Patterns Design patterns are reusable solutions to commonly occurring problems in software design. They provide a proven blueprint for creating flexible and … Read more

Abstraction

Abstraction is a fundamental concept in object-oriented programming (OOP) that focuses on the essential features of an object while hiding unnecessary details. It simplifies complex systems by providing a higher-level view of the problem. Key Concepts: Types of Abstraction: Example: Consider a car. When driving, you focus on steering, accelerating, and braking. You don’t need … Read more

Encapsulation

Encapsulation is a fundamental principle of object-oriented programming (OOP) that binds together data (attributes) and the methods that operate on that data into a single unit, a class. This binding creates a protective shield that prevents data from being accessed by the code outside this shield. Key Concepts: Example: Python In this example: Benefits of … Read more

Polymorphism

Polymorphism is a core principle of object-oriented programming (OOP) that allows objects of different types to be treated as if they were of the same type. It enables flexibility and extensibility in code. Types of Polymorphism Python Python Example: Python Key Points By understanding polymorphism, you can write more flexible and adaptable object-oriented code. Read … Read more

Inheritance

Inheritance is a fundamental concept in object-oriented programming (OOP) that allows one class to inherit the properties and methods of another class. The class that inherits is called the subclass or derived class, and the class being inherited from is called the superclass or base class.   Syntax: Python Example: Python Key points: Types of … Read more