📘 Python Functions (def) – Simple Explanation Today we learned about functions in Python. A function is a reusable block of code that performs a specific task. In Python, we use the def keyword to create (define) a function. 🔹 Print vs Return We also learned the difference between print() and return. print() shows the output immediately on the screen. return sends a value back, which we can use later in the program ✅ How to use the def keyword ✅ How to create a function ✅ How to call a function ✅ The difference between print and return ✅ How to create multiple functions ✨ Conclusion Functions are a very important part of programming. They help make code clean, organized, and reusable. #Python #PythonFunctions #ProgrammingBasics #CodingJourney #LearnPython #BeginnerProgrammer
Python Functions: Defining and Using in Python
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Day 16-Python Programming Flow Control Statements in Python – The Foundation of Logic Building Understanding if, if-else, elif, nested conditions, and loops is essential for writing structured and intelligent programs. This visual guide explains: ✔ Decision (Conditional) Statements ✔ Looping (Iterative) Statements ✔ Types of if statements with examples ✔ Why flow control is crucial in real-world applications Master the basics. Build powerful logic. 🚀 #Python #FlowControl #ProgrammingBasics #LearnPython #CodingJourney
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Ever got stuck on a Python error and thought, “Why is this happening to me?” 😅 You’re not alone. Most developers struggle with the same few errors the trick is understanding why they happen. Save this reel for later and follow for simple Python tips. #Python #LearnPython #CodingTips #DeveloperLife #Programming #PythonErrors #TechReels #CodeSmart #SoftwareDeveloper #AIContent
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Happy Wednesday to all ..❤️ 🌿 What is an Array in Python? An array is a collection of elements stored in a single variable, where each element is placed at a specific position called an index. In Python, arrays are commonly represented using Lists. • They allow you to store multiple values of the same or different types under one name, making it easy to manage and process large amounts of data efficiently. •Think of an array like a row of boxes, where each box holds a value and every box has a number starting from zero -> In the python Arrays are the first real challenge that tests your logical thinking. This PPT covers 15 essential array programs that will help for every beginners... #python #array #knowledge #understanding
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Day 15- Python programming 📘 Python Logical, Assignment & Membership Operators Explained This infographic covers: ✔ Logical operators (AND, OR, NOT) with truth tables ✔ Assignment operators with examples ✔ Membership operators (in, not in) Perfect for Python beginners and concept revision 💡🐍 #Python #LogicalOperators #ProgrammingBasics #LearnPython
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Day 73 of reduce() function: Today I explored Python’s reduce() function from functools. It’s a powerful tool for cumulative operations—like calculating the product of a list or the sum of squares. This functional programming approach makes complex tasks elegant and efficient. GitHub link: https://lnkd.in/gEWXyXTf #Python #CodingChallenge #100DaysOfCode #GitHub #CodeNewbie #FunctionalProgramming
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Day 68 – Exception Handling in Python: Day 68 focused on understanding Exception Handling in Python. I practiced using try, except, and finally blocks to handle errors safely in a program. In this example, I attempted to divide a number by zero and handled the ZeroDivisionError using an except block. I also used a general exception handler and a finally block, which always executes whether an error occurs or not. This exercise helped me understand how Python programs can manage runtime errors without crashing and ensure important code always runs. GitHub Code: https://lnkd.in/g6biJGT3 #Day68 #100DaysOfCode #Python #ExceptionHandling #LearningPython #CodingJourney #DailyCoding #Consistency
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🧠 Python Logic Challenge – This Tricky Concept Breaks Many Programs! At first glance, this code looks simple… but it hides one of Python’s most common pitfalls 👇 👉 Mutable default arguments This challenge tests your understanding of: ✔ How Python stores default values ✔ Memory persistence between function calls ✔ Why unexpected outputs happen in real projects 💡 Mastering this saves you from serious bugs and interview mistakes. Can you predict the output without running the code? 👇 Drop your answer in the comments 📌 Save for revision ➕ Follow for daily Python logic challenges #Python #PythonProgramming #CodingChallenge #LearnPython #DeveloperSkills #ProgrammingLogic #SoftwareDeveloper #CodingInterview #PythonTips #TechCareers #DeveloperJourney #ComputerScience #DSA
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Day 57 – Finding Set Difference in Python Day 57 focused on performing set difference operations to identify elements present in one set but not in another. The exercise also included adding dynamic user inputs, helping strengthen understanding of set behavior, uniqueness, and efficient comparison techniques in Python. GitHub Code: https://lnkd.in/g_TjiHnB #Day57 #100DaysOfCode #Python #Sets #DataStructures #LogicBuilding #DailyCoding #Consistency
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When working with loops in Python, controlling the flow of execution is very important. Python provides three useful statements — break, continue, and pass — that help manage how loops behave. 📌 1️⃣ break Statement The break statement is used to exit a loop immediately when a specified condition is met. 📌 2️⃣ continue Statement The continue statement skips the current iteration and moves to the next iteration of the loop. 📌 3️⃣ pass Statement The pass statement is a placeholder that does nothing. It is used when a statement is syntactically required but you don't want to execute any code yet. #Python #PythonProgramming #Coding #Programming #LearnToCode #ComputerScience #DataScience
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