Python Lists Explained

🚀 Day 6 of My Python Learning Journey Today’s focus was on Functions in Python — one of the most important concepts for writing clean and reusable code ✨ 🧠 What I learned today: ✔️ How to define functions using "def" ✔️ Difference between built-in and user-defined functions ✔️ Parameters and return values ✔️ Lambda (anonymous) functions ✔️ Basics of recursion 📒 I also created handwritten notes to better understand and remember the concepts — writing things down really helps me learn faster! 💡 Key takeaway: Functions make code more organized, reusable, and easy to debug. Here’s a simple example from today’s practice: def add(a, b): return a + b print(add(2, 3)) 📌 Sharing my handwritten notes below 👇 (helps in quick revision!) #Python #CodingJourney #LearningByDoing #StudentLife #100DaysOfCode #Programming

Day -12 of #100DaysOfCode Today I explored some powerful Python concepts: Closures in higher-order functions – learned how functions can remember values from their enclosing scope. Lambda functions – wrote concise, one-line functions for quick operations. Practiced examples like: -Multiplication using closures -Addition with lambda -Finding square of a number -Checking even or odd -Finding the greatest of three numbers It’s amazing how Python lets you write clean and compact code using these techniques. Slowly but surely building confidence every day Consistency is the key — see you on Day 13! #Python #CodingJourney #Learning #100DaysChallenge #Programming #Developers #SkillShishya

🚀 Sharing a Python Cheat Sheet for Beginners I’ve created this quick reference guide covering Python basics like operators, loops, functions, data types, and more. This can be helpful for anyone starting their journey in programming or looking for a quick revision. #Python #Programming #Learning #Beginners #TechSkills #Coding

🚀 Exploring Python Loops & Control Statements: The Core of Logical Programming While learning Python, I realized how important loops and control statements are for writing efficient and logical code. Here’s a quick summary of what I understood: 🔹 For Loop Used to iterate over a sequence like lists, tuples, or strings. Best when the number of iterations is known. 🔹 While Loop Runs as long as a condition is true. Useful when the number of iterations isn’t fixed. 🔹 If, Elif, Else Helps in decision-making by executing code based on conditions. 🔹 Break Statement Used to exit a loop immediately when a condition is met. 🔹 Continue Statement Skips the current iteration and continues with the next one. 🔹 Pass Statement Acts as a placeholder when no action is needed but syntax requires a statement. 💡 These concepts are helping me build stronger programming logic step by step. 📌 Always open to learning more and improving! #Python #LearningJourney #Programming #Coding #Loops #ControlStatements

A Simple Path to Python Success by Finxter, Lukas Rieger, and Shubham Sayon is the featured track on Leanpub! Python is the fastest-growing major programming language on the planet. This practical course set will teach you Python in a hands-on, highly practical way that guarantees your success. All you need to go from zero to completing your own Python projects in a relaxed, student-centric, and fun environment. Create yourself a new skill that'll bring... Link: https://lnkd.in/e5cUkaWs #ComputerProgramming #Devops

A Simple Path to Python Success by Finxter, Lukas Rieger, and Shubham Sayon is the featured track on Leanpub! Python is the fastest-growing major programming language on the planet. This practical course set will teach you Python in a hands-on, highly practical way that guarantees your success. All you need to go from zero to completing your own Python projects in a relaxed, student-centric, and fun environment. Create yourself a new skill that'll bring... Link: https://lnkd.in/e5cUkaWs #ComputerProgramming #Devops

🍀🚀 Exploring Python Loops & Control Statements: The Core of Logical Programming While learning Python, I realized how important loops and control statements are for writing efficient and logical code. Here’s a quick summary of what I understood: 🔹 For Loop Used to iterate over a sequence like lists, tuples, or strings. Best when the number of iterations is known. 🔹 While Loop Runs as long as a condition is true. Useful when the number of iterations isn’t fixed. 🔹 If, Elif, Else Helps in decision-making by executing code based on conditions. 🔹 Break Statement Used to exit a loop immediately when a condition is met. 🔹 Continue Statement Skips the current iteration and continues with the next one. 🔹 Pass Statement Acts as a placeholder when no action is needed but syntax requires a statement. 💡 These concepts are helping me build stronger programming logic step by step. 📌 Always open to learning more and improving! #Python #LearningJourney #Programming #Coding #Loops #ControlStatements

🚀 Today I Learned: Python Lists Continuing my Python journey, today I explored one of the most important concepts — Lists. 🔹 What I learned: - Creating lists to store multiple values - Accessing items using index - Adding & removing elements (append, insert, remove, pop) - Updating list values - Using loops to iterate through a list 🔹 Small practice: I created a list of numbers and calculated the average using Python. 💡 Lists are very useful in real-world projects for handling data efficiently. I’m excited to keep learning and building more with Python every day! #Python #LearningJourney #Coding #Programming #Beginners #100DaysOfCode

🚀 Day 32 of My Learning Journey – Python Fundamentals Today I strengthened my core understanding of Python concepts that are essential for problem-solving and interviews. 🔹 What I learned today: Dictionaries (Key–Value pairs & rules) Variables and naming conventions Logical operators (and, or) range() function in loops break & continue statements Identity operator (is vs ==) Programs on: Prime numbers Fibonacci series Palindrome check 🔹 Key takeaway: Understanding the logic behind code is more important than just writing syntax. Fixing mistakes helped me learn deeper today 💡 💻 Consistency is the real game changer. One step every day! #Day32 #Python #CodingJourney #LearningInPublic #Programming #Developers #Consistency #100DaysOfCode

(DAY-12) 🚀 Python List Methods Made Easy Understanding list methods is essential for working efficiently with data in Python. From adding and removing elements to sorting and analyzing lists, these built-in methods help you write cleaner and smarter code. This infographic gives a quick overview of the most important list methods with simple examples—perfect for beginners and quick revision. 💡 #Python #Programming #LearnPython #Coding