Python Object-Oriented Programming Fundamentals

🐍📰 Python Classes: The Power of Object-Oriented Programming Learn how to define and use Python classes to implement object-oriented programming. Dive into attributes, methods, inheritance, and more https://lnkd.in/gBSBbw7i

🚀 Mastering Exception Handling & Logging in Python 🐍 Handling errors effectively is what separates a good developer from a great one. Recently, I strengthened my understanding of Exception Handling & Logging in Python, and here are some key takeaways: 🔹 Exception Handling - Used "try-except" blocks to gracefully handle runtime errors - Leveraged "finally" for cleanup actions - Created custom exceptions for better error clarity - Avoided generic exceptions to ensure precise debugging 🔹 Logging Best Practices - Replaced "print()" with the "logging" module - Used different levels: "DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL" - Configured log formats for better readability - Stored logs in files for tracking and debugging 🔹 Why It Matters ✔ Improves application reliability ✔ Makes debugging faster and easier ✔ Helps in production monitoring 💡 “Code that handles errors well is code that survives in production.” #Python #ExceptionHandling #Logging #SoftwareDevelopment #CodingBestPractices #BackendDevelopment #DataEngineering

Today I focused on understanding the fundamentals of Object-Oriented Programming (OOP) in Python. 📌 Key concepts I learned: 🔹 What is a Class? A class is a blueprint used to create objects. An object is an instance of a class. 🔹 Reference Variables vs Instance Variables Reference variables store the address of an object Instance variables belong to each individual object 🔹 Constructor in Python The constructor method __init__() is used to initialize object values It is automatically called when an object is created 🔹 Self Variable self refers to the current instance of the class It is used to access variables and methods inside the class 💡 These concepts are the foundation for writing structured, reusable, and efficient Python code. Consistency is the key — learning something new every day Global Quest Technologies #Python #OOP #CodingJourney #LearnPython #Programming #Developers #TechLearning #SoftwareDevelopment #PythonDeveloper #StudentDeveloper #GlobalQuestTechnologies

This video series explains Object Oriented Programming (OOPS) in python in detail with many examples. This video discusses about Multiple Inheritance, super() function, Function Overriding etc.

*Day 26 of my python learning journey* Today I learned about Getter, Setter, and 3 types of methods in Python OOP. *Getter & Setter methods:* Getters are used to access private data safely → `get_name()` Setters are used to update private data with validation → `set_age()` They help protect data and add control over how variables are read or changed. *3 Types of Methods in Python:* 1. *Instance method* → Uses `self`, works with object data. Called by objects. 2. *Class method* → Uses `@classmethod` and `cls`, works with class variables. Called by class. 3. *Static method* → Uses `@staticmethod`, doesn’t use `self` or `cls`. Like a normal function inside class. One more step toward writing clean, secure OOP code. Special thanks to the CEO G.R NARENDRA REDDY Sir for constant guidance and motivation. #Python #OOP #GetterSetter #LearningJourney #Programming

🐍📺 In this video course, you'll learn how to manipulate ZIP files using Python's zipfile module from the standard library. Through hands-on examples, you'll learn how to read, write, compress, and extract files from your ZIP files quickly #python

Understanding Python Encapsulation Encapsulation is a fundamental concept in object-oriented programming that restricts direct access to certain attributes or methods. In Python, this is achieved using private attributes, which are designated by a preceding double underscore (e.g., `__balance`). This convention indicates that the attribute should not be accessible outside the class, promoting data hiding and ensuring better control over how the data can be modified. In the provided code, the `BankAccount` class demonstrates encapsulation. The `__balance` attribute is a private variable, ensuring that it cannot be accessed directly from outside the class. Instead, public methods like `get_balance()`, `deposit()`, and `withdraw()` are provided to interact with this private variable safely. This structure helps to validate inputs and maintain integrity, as any changes to the balance must go through these methods, which can enforce rules like not allowing negative deposits or withdrawals exceeding the current balance. This becomes critical when managing sensitive data, such as financial information in the example. By masking the underlying implementation details, encapsulation allows you to change the internal workings of a class without affecting code that uses the class. This flexibility adds to the robustness and maintainability of your code. Quick challenge: How would you modify the `BankAccount` class to include a method that prevents the balance from going below zero? #WhatImReadingToday #Python #PythonProgramming #OOP #Encapsulation #Programming

(Open Access) A Practical Introduction to Python Programming: https://lnkd.in/ebch3ypu Look for "Read and Download Links" section to download. Follow me if you like this post. #Python #programming #OOP #ObjectOriented #ObjectOrientedProgramming

#TIL There is no real polymorphism in Python OOP In Python, method calls are not resolved by strict type like Java or C++. They are resolved at runtime, based on object behavior, not class hierarchy. What we call polymorphism in Python is actually: ✔ Duck Typing ✔ Dynamic dispatch ✔ Flexible method resolution If an object acts like it has the method, Python doesn’t care what class it belongs to. “If it quacks like a duck, it’s a duck.” This flexibility is powerful. But it also means Python OOP works very differently from classical OOP languages. Understanding this makes you a better Python engineer, not a confused one. #Python #OOP #SoftwareEngineering #Programming #PythonDev #CleanCode #DeveloperMindset

🐍📺 In Python, collections of text are called strings. In this course, you'll learn about this fundamental data type and the string methods you can use to manipulate strings #python