Python Logic Challenge: Mutable Default Arguments

🧠 Python Logic Challenge – This One Tricks Even Experienced Developers! At first glance, the code looks simple. But it tests one of Python’s most important concepts: 👉 How lists behave when multiplied and modified If you truly understand: ✔ Object creation vs reference ✔ List operations ✔ Mutation behavior —you’ll get this right without running the code. Can you predict the output? 👇 Drop your answer in the comments (or vote in the poll!) 📌 Save this for later ➕ Follow for daily Python logic challenges 🔁 Repost to challenge your network #Python #PythonProgramming #CodingChallenge #LearnPython #ProgrammingLogic #DeveloperSkills #SoftwareDeveloper #CodingInterview #PythonTips #TechCareers #DeveloperJourney #ComputerScience #DSA

Strengthening Python Fundamentals 💻🔥 Today I revised and practiced the core fundamentals of Python: ✔ Variables ✔ Data Types ✔ Operators ✔ Type Casting ✔ print() parameters (sep & end) ✔ Formatted f-strings ✔ Control Statements (if / else) ✔ Looping (for / while) ✔ Functions ✔ Input / Output Building a strong foundation is my priority before moving into advanced concepts. Instead of just watching classes, I am actively practicing in VS Code and testing my understanding through real examples. Step by step progressing in my Python Full Stack journey 🚀 #Python #LearningJourney #FullStackDeveloper #Consistency #CodingLife #BeginnerToPro

Python Object Manipulation Today I was experimenting with Python’s metaclasses and object creation flow, and something interesting happened. ◽ What looks simple: obj = MyClass() actually goes through multiple internal steps: 1️⃣ type.__call__() 2️⃣ MyClass.__new__() 3️⃣ MyClass.__init__() ◽ Then I tried something unusual. ◽ I modified __new__() to return a string instead of an object. - Result? __init__() never executed ◽ Object creation was completely manipulated ◽ Both variables ended up holding the same value ◽ Moments like these remind me why I love digging into Python internals. Every layer reveals something new. #Python #PythonProgramming #PythonInternals #ObjectOrientedProgramming #DataScience #SoftwareDevelopment #Programming #CodeNewbie #LearnToCode #Metaclasses

Day 72 of filter() function: Today I explored Python’s powerful filter() function. It helps extract elements from lists based on conditions—like filtering even numbers or names containing specific letters. This concise approach makes code cleaner and more efficient. Github link: https://lnkd.in/gFtmaYZS #Python #CodingChallenge #100DaysOfCode #LearningInPublic #GitHub #CodeNewbie

🔁 Understanding Loops in Python 🐍: Loops are one of the most powerful concepts in Python. They allow us to execute a block of code multiple times — making our programs efficient, clean, and scalable. In Python, there are two main types of loops: 1️⃣ for Loop: Used when we know how many times we want to iterate ✅ Commonly used with: Lists Tuples Strings Dictionaries Range of numbers 2️⃣ while Loop Used when we want to repeat a block of code until a condition becomes False. 💡 Useful for: Input validation Running models until accuracy threshold Real-time data processing 📌 Key Takeaway: Loops help us transform repetitive tasks into efficient automated solutions. #Python #DataAnalytics #Coding #100DaysOfCode #LearningJourney

📌 Python Functions Today I learned about Functions in Python. A function is a block of code that runs only when it is called. It helps organize code, improve readability, and avoid repetition. We can: • Pass data into a function (parameters) • Return data as a result • Reuse the same logic multiple times Types of Functions in Python: 1️⃣ Built-in Functions 2️⃣ User-Defined Functions 3️⃣ Lambda Functions 4️⃣ Recursion Functions are essential for writing structured, efficient, and reusable programs. Step by step, moving from basic concepts to writing more structured Python code. #Python #Programming #LearningPython #CodingJourney #DataAnalytics

Python Output Challenge ! What will be the output of this code? 👇 x = "code n facts" y = x x = x.upper() print(y) A. CODE N FACTS B. code n facts C. Error D. None Think carefully before answering ! Drop your answer in the comments ⬇️ 💡 Let’s test your understanding of Python strings & variable referencing. #Python #PythonProgramming #CodingChallenge #LearnToCode #CodeNFacts #ProgrammingBasics #TechEducation #Developers #100DaysOfCode #CodingCommunity

Day 71 – Map Function in Python: Day 71 focused on learning the map() function in Python, which is used to apply a function to every item in an iterable like a list. I practiced using map() along with lambda functions to square numbers in a list and to create greeting messages for a list of names. This exercise helped me understand how map() can process data efficiently and reduce the need for traditional loops, making Python code more concise and functional. GitHub Code: https://lnkd.in/gxBQmHAs #Day71 #100DaysOfCode #Python #MapFunction #Lambda #LearningPython #CodingJourney #DailyCoding #Consistency

🐍 Day 1 of Python — and I already built something! Today I learned: ✅ Variables & Data Types ✅ Loops ✅ Functions ✅ match-case And then I put it all together and built a Basic Calculator, It felt amazing to see code I wrote actually work, Here's the code I wrote today www.github.com/ishamgit/ #Python #Day1 #100DaysOfCode #LearningInPublic #CSEStudent

💡 Hello Python, kind regards: Power Automate meets Python Mike Givens walks through a practical, bidirectional setup showing how Power Automate and Python can work together; from file-based triggers to HTTP flows and Dataverse scenarios. 📺 Watch now → https://msft.it/6041tvful #PowerAutomate #Python #PowerPlatform