Python If-Else Statements: Core Decision-Making

Day 19 of 100 Days of Python — while Loop Today, I practiced the while loop in Python. The while loop runs a block of code as long as a condition remains true and stops when the condition becomes false. Key Points — while Loop in Python 1) Condition-based execution Code keeps running while the given condition evaluates to true. 2) Suitable for unknown iterations Used when the number of repetitions is not fixed in advance. 3) Requires condition update The condition must change inside the loop to avoid infinite execution. 4) Common in real programs Used in input validation, menu-driven programs, and continuous checks. Key Takeaway: The while loop is ideal for repetitive tasks that depend on a changing condition. #100DaysOfPython #PythonBasics #LearningJourney #WhileLoop #ControlFlow #LearnInPublic

💡Not a bug. Just Python being Python. Python “Bug” That Isn’t a Bug At first, this looks confusing. You create two variables with the same number, but Python treats them differently. What’s really happening? Python caches small integers (from -5 to 256) to improve performance. 256 reused from cache same memory object 257 created again different memory locations That’s why: a == b compares the value True a is b compares memory (identity) True / False This is one of those Python internals that: trips up beginners surprises experienced developers shows why understanding the language really matters Not magic. Not a bug. Just how Python works. #Python #Programming #SoftwareEnginering #Developer #Coding

🐍📺 Learn how every item of data in a Python program can be described by the abstract term "object," and how to manipulate objects using symbolic names called "variables" #python

Why does Python use 0-based indexing, and why should we care? Today I learned the importance of indexing in Python and how it helps us access elements efficiently. Python follows 0-based indexing, which means the first element starts at index 0. This design comes from memory addressing, where the index represents the offset from the starting memory location. I also understood the difference between mutable and immutable data types: 🔹 Mutable (can be changed): list, dictionary, set 🔹 Immutable (cannot be changed): int, float, string, tuple Knowing this helps avoid unexpected bugs and improves code performance and reliability. Understanding these basics makes Python code more predictable and interview-ready. #Python #ProgrammingBasics #LearningJourney #SoftwareDevelopment #10000Coders

🚀 Day 14 Python Practice – List Methods Today, I practiced Python list methods to improve my list manipulation skills: 🔹 Methods Practiced: Adding elements: append(), extend(), insert() Removing elements: pop(), remove(), clear() Finding & counting: index(), count() Sorting & reversing: sort(), reverse() Copying lists: copy() Key Takeaway: ✅ Mastering list methods makes it easier to manipulate and manage data in Python efficiently. #Python #CodingPractice #LearnPython #100DaysOfCode #DeveloperJourney

🐍 90 Days of Python – Day 9 Today, I learned about loops in Python, which help in executing a block of code repeatedly. Loops are useful when we need to perform the same task multiple times without writing duplicate code. Key concepts I explored today: • for loops – used to iterate over sequences like lists, strings, or ranges • while loops – used when a condition needs to be checked repeatedly • Understanding loop conditions and termination • Using loops to automate repetitive tasks Loops play a major role in writing efficient and scalable programs. I’m practicing these concepts to better understand how Python handles repetition and flow control. 📌 Day 9 completed. Automating repetition with loops. 👉 Can you share a simple example where loops saved you time? #90DaysOfPython #PythonLearning #LearningInPublic #ProgrammingBasics #BTechCSE #MachineLearning

Day 18 of 100 Days of Python — for Loop Today, I practiced the for loop in Python. The for loop is used to execute a block of code repeatedly over a sequence such as a list, string, or range. Key Points — for Loop in Python 1) Iteration over sequences Executes code once for each element in a sequence. 2) Works with range() Commonly used to repeat actions a fixed number of times. 3) Suitable for collections Used with lists, tuples, sets, dictionaries, and strings. 4) Clean and readable syntax Helps write structured and predictable loops. Key Takeaway: The for loop simplifies repetitive tasks and makes iteration easy to manage. #100DaysOfPython #PythonBasics #LearningJourney #ForLoop #ControlFlow #LearnInPublic

Day 20 of 100 Days of Python — break / continue / pass Today, I practiced break, continue, and pass in Python. These statements control the flow of loops and decide when a loop should stop, skip, or do nothing. Key Points — Loop Control Statements 1) break Immediately stops the loop when a condition is met. 2) continue Skips the current iteration and moves to the next one. 3) pass Acts as a placeholder when no action is required. Key Takeaway: break stops, continue skips, and pass does nothing — but each has a specific purpose. #100DaysOfPython #PythonBasics #LearningJourney #BreakContinuePass #ControlFlow #LearnInPublic

In Python, indentation is not just about code formatting, it defines the logic of your program. Unlike other languages, Python uses indentation to decide which statements belong to a loop or a condition. In this example, the print statement runs only when the condition is true because it is properly indented. A single space or wrong alignment can change the output or even break the code. That’s why indentation in Python is mandatory, not optional. #PythonProgramming #LearnPython #PythonIndentation #CodingBasics #ProgrammingTips #PythonForData #AnalyticsByAdnan #visualstudio2026 #visualstudiocode

Watch Python Code generate a tree…but wait… it’s running in the browser 😝 Code by Mercy Jemeli Link to original work: https://lnkd.in/ePyTW77R #python Pyodide https://codescapes.io