Python's Elsif Clause Simplifies Loop Logic

🚀 Day 23/100 | #100DaysOfCode with Python 🐍 Today I learned three super useful concepts that make Python code shorter, cleaner, and more powerful 👇 ✨ Lambda Functions Small, anonymous functions written in a single line. Perfect when the logic is simple and you don’t need a full function. 🔁 map() Function Used to apply the same operation to every element in a list or iterable. Great for transforming data quickly and efficiently. 🎯 filter() Function Helps extract only those values that match a condition. Super helpful when working with real-world data. What I loved today: Less code ✅ Better readability ✅ More confidence with Python ✅ Taking one step forward every day, no matter how small 💪 Consistency > Perfection 🚀 If you’re learning Python too, what did you practice today? Let’s share and grow 👇 #Day23 #PythonLearning #Lambda #MapFunction #FilterFunction #100DaysOfCode #CodingJourney #LearnToCode #DeveloperInMaking #DailyLearning

💡Python has global / module scope and function / class scope. But I was surprised that Python does not have block scope. Look at the following snippet 👇 Inside the if...else block, isEven returns the expected result. But notice that isEven is also accessible outside the block and can be printed again. So variables declared inside loops or conditionals are still accessible outside of them. However, if this logic is wrapped inside a function, isEven will raise: NameError: name 'isEven' is not defined. This happens because isEven has no scope outside the function. In Python, a function or class is considered a scope, but if...else blocks do not. If need isolation, create own scope using a function. ⚠️ Be careful 😉 This can save from unexpected bugs 🐍 #programming #python #coding #function #scope #learning #learningeveryday

Mastering Python: A Quick Tip on lambda and filter() 🐍💡 Ever wondered how to make your code cleaner and more Pythonic for simple list operations? The lambda and filter() functions are your best friends! They are especially useful for concise, one-off functions where defining a full def block might be overkill. Here’s a simple example of how to filter even numbers from a list: python nums = [1, 2, 4, 5, 6, 7, 8, 9, 10] # Using a lambda function with filter() to get even numbers evens = filter(lambda x: x % 2 == 0, nums) print(list(evens)) # Output: [2, 4, 6, 8, 10] Use code with caution. ✅ Why this is great: Concise: Achieves a specific task in a single, readable line. Efficient: filter() returns an iterator, which is memory efficient for large datasets. Functional: Showcases a core concept of functional programming in Python. #Python #LambdaFunctions #CleanCode #PythonProgramming #TechTips #DataScience# Abhishek kumar # Harsh Chalisgaonkar # SkillCircle™

Boolean Logic in Python — No if, no else, just clean decisions 🧠🐍 Today I’m sharing a small Python example that shows how boolean logic can replace traditional if / elif / else blocks in a clean and expressive way. The program asks three simple questions: Is it raining? Do you have an umbrella? Can you wait? From there, it makes a decision using only: and or not No conditionals. Just pure logic. Why is this interesting? Because Python’s boolean operators don’t just return True or False — they can return values. Combined with short-circuit evaluation, this allows you to describe decisions declaratively instead of controlling the flow step by step. This approach is especially useful when: Conditions are mutually exclusive Logic is clear but branching would be verbose You want readable, compact decision rules In the video, I break down: How user input becomes booleans How and, or, and not actually behave in Python Why the first “true” expression wins When this pattern is elegant — and when it’s not Sometimes the cleanest decision-making code has zero if statements. If you’re learning Python or revisiting fundamentals, this is a great example of how understanding the basics deeply can level up your code. #Python #BooleanLogic #Programming #SoftwareDevelopment #CleanCode #PythonTips #LearningPython #CodeExamples

Python for Beginners in 2026 🎃 In today's tech world, if you don't know Python 🐍 yet, honestly, you are missing a lot! Where to start without the overwhelm 🤔? 1️⃣ LearnPython: Best for interactive, hands-on practice directly in your browser. 🔗 https://learnpython.org/ 2️⃣ Official Python Tutorial: The "Source of Truth". It's more readable than you think! 🔗 https://lnkd.in/dtmEkTDN Happy Coding 🎊! #Python #Coding #Programming #Beginners

[paid content] A deep dive into #objectorientedprogramming with #python: I read "Python Object-Oriented Programming" from Steven F. Loft and Dusty Phillips, a book that helps readers develop strong object-oriented design and architectural thinking in Python. Of course it starts with the basics of #OOP but ultimately spends a lot of its roughly 500 pages explaining common and advanced #designpatterns in Python, such as decorator, flyweight or abstract factory. This targeting of both beginners and advanced programmers makes it likely that not every section is relevant depending on your level, though. I like the emphasis on clean code: type checking, testing and efficient code are repeatedly encouraged throughout the book. Concepts are theoretically motivated and then of course gradually demonstrated with practical code examples. Each chapter concludes with summary and excercises. Grab your copy at Packt Publishing. https://lnkd.in/duQb8ghC

Although it may not be a big deal in other object oriented language to know the difference between Class and Object, it is a big deal in Python. This is especially evident and important when using libraries and/or frameworks that expects you to pass a callback function as one of the arguments to its own function or method. Why Python? Cause Python expects an extra "self" parameter to be passed in instance methods that other PLs don't. You'll encounter this unique behavior when you pass a class, instead of an object, along with the callable as this is a function (not a method) that expects "self", thus you get too many arguments, expected "n" arguments but got "n+1"... type of error, because of that extra argument being passed by Python. And this is why I always tell people that I mentor to not ignore or skip the basics or essentials, as this knowledge becomes critically valuable in most edge cases. #python #class #object

🚫 Common Python Mistake Every Beginner Makes (and How to Fix It) Today I caught myself making a classic Python error while comparing two strings — and it’s a mistake almost everyone makes when starting out. 👉 The issue? Confusing a string with its length. When looping, Python doesn’t automatically know you want the length of a string. You must explicitly ask for it. Otherwise, your logic is right… but your code still fails. 💡 Key takeaways: range() works with numbers, not strings Always check string lengths before comparing characters Sometimes the simplest solution (string1 == string2) is also the best Clean, readable code matters more than complicated logic These small fundamentals matter a LOT — especially in interviews and real-world debugging. Learning is all about catching these tiny gaps and fixing them one by one 🚀 Keep practicing. Keep breaking. Keep learning. #Python #Programming #CodingJourney #PythonBasics #LearningToCode #Debugging #SoftwareEngineering

What Really Happens When You Pass a Variable to a Function in Python? In Python, variables don’t hold values — they hold references to objects. When you pass a variable to a function: 👉 Python passes the reference, not a copy of the object. This model is often called “pass-by-object-reference” (or call by sharing). Why this confuses people? Immutable objects (int, str, tuple): Reassignment inside a function creates a new object → original stays unchanged. Mutable objects (list, dict, set): In-place modification changes the same object → caller sees the change. So it feels like: Immutable → pass by value Mutable → pass by reference But that’s just an illusion. The real rule Python always passes a reference to an object. What you do with that reference determines the outcome. #Python #ProgrammingConcepts #PythonInternals #Mutable #Immutable #CleanCode

Having discussed on Functions, I'll be focusing on the difference between them and methods — another concept in Python. Many beginners in Python mix up functions and methods and that confusion slows learning more than it should. They may look similar but understanding how they're used in a program differentiates them. A quick way to separate them: · Functions are standalone: They don’t belong to any object and are called directly. Examples: len(), sum(), or a function you define with def. • Methods belong to objects: They’re called on something and usually act on that object’s data. Examples: text.upper(), items.sort(), list.append(). Same language, different concepts and understanding this distinction makes reading Python code much easier. I put together a simple visual comparing both side by side. This represents the use case for both of them in a program. #DataAnalytics #Python #LearninginPublic #CareerGrowth