Understanding Python's Object Model

Easily Deprecate functions in Python 2.7 In newer versions of Python, there's a feature to deprecate a function, but if you're using older versions (prior to 3.13), you can just write your own decorator to warn users of a function that it's deprecated. In this example (screenshot), we're just printing the deprecation warning to the caller of the function, but you can easily adjust this to raise an Exception if you want to. This is just one of the many reasons why I love Python, cause I can usually implement a feature from newer versions into older ones (like when I wrote my own version of argument parser for Python 2.2). How about you? What do you love about Python? Let us know in the comments below :)

Day 52 — Python Tip of the Day “Understanding List Comprehension in Python” List Comprehension is a smart and powerful feature in Python that lets you create lists in a single, clean, and readable line. ⭐ Why it's useful? ✔ Makes your code shorter ✔ Improves readability ✔ Reduces long loops ✔ Runs faster than traditional methods ✔ Helps you write clean and pythonic code 📌 If you want to level up your Python skills, start using list comprehensions — they save time and make your code look professional #KaifTechTalks #Python #PythonProgramming #PythonTips #100DaysOfCode #CodingJourney #LearnToCode #CleanCode #Automation #TechLearning #CodeNewbie #DeveloperCommunity

Python Conditionals — Explained with Clear Examples Conditionals are fundamental building blocks in Python, yet many developers still get tripped up by how if statements behave—especially when working with truthy and falsy values, chained conditions, and logical operators.

Python Tip of the Day 🐍 Control statements define the flow of execution in Python. ✔ Conditional statements — if, if-else, if-elif-else, nested if ✔ Looping statements — for, while, nested loops Understanding control flow is essential for writing logical, structured, and efficient programs. Day 18 of building python basics. #PythonDaily #PythonBasics #DataAnalytics #LearningPython #Python

🐍 The Zen of Python: a set of guiding principles for writing good Python code. What happens when you run `import this` in Python shell? You will see the Zen of Python, a set of simple but powerful principles that guide how good Python code should be written. It is not about syntax. It is about clarity, simplicity, and thoughtful design. If you believe, code should be easy to read and understand, then the Zen of Python is for you! #Python #ZenOfPython #CodeQuality #CleanCode #ProgrammingPrinciples #DeveloperTips

swapping values in python is so easy, you should try it. >>> a = 3 >>> b = 4 >>> a, b = b, a

What Exactly Is the Zen of Python? From https://lnkd.in/eeCQXnkX The Zen of Python is a collection of 19 guiding principles for writing good Python code. Learn its history, meaning, and hidden jokes.

🚀 Article 5 of my Python OOP Series is Live! 🔄 Polymorphism in Python — Same Method, Different Behavior One of the most powerful ideas in Object-Oriented Programming is polymorphism — where the same method can behave differently depending on the object. In this beginner-friendly article, I explained: ✔ What polymorphism really means (without complex jargon) ✔ Method overriding vs overloading ✔ Real-life relatable examples ✔ Duck typing in Python ✔ Practice exercises for beginners If you're learning Python OOP step by step, this article will help you understand how flexible and dynamic Python can be. Read here 👇 https://lnkd.in/dVrwii6F #Python #OOP #LearningInPublic #WomenInTech #CodingJourney #BeginnerProgrammer

🚀 I’ve published a beginner-friendly article on Python Dictionaries 🐍, where I covered: ✨ The key–value concept 💻 Simple Python examples 🌍 Practical real-world use cases Writing about what I’m learning helps me understand concepts more clearly 📚 Open to feedback and suggestions! 🙂 Read here: 👉 https://lnkd.in/gs2jeM4Y #Python #DataStructures #LearningInPublic #Programming #Beginners Innomatics Research Labs

🐍 How to Catch Multiple Exceptions in Python 📰 In this tutorial, you'll learn different ways of catching multiple exceptions. You'll explore the standard tuple method as well as suppressing exceptions and using exception groups. #python