Mastering Nested If Statements in Python

Why the Creator of Flask HATED Python 3 😡 "Why are we ruining all of this?" - Armin Ronacher. Before Python became the #1 language in the world, it faced a massive rebellion. The creator of Flask admits he was "viciously attacking" the update that we all use today. See the regret and the reality behind the death of Python 2. 🪦 Hit that follow button if you code in Python! #python3 #codinglife #programmer #guido #tech #computerscience #shorts

🐍 90 Days of Python – Day 16 Function Arguments & Return Values Today, I went deeper into functions in Python by learning how arguments and return values work. Functions become truly useful when they can accept inputs and produce outputs, making them flexible and reusable. 🔹 Key concepts I covered today: • Passing arguments to functions • Using multiple parameters • Understanding return statements • How functions send results back to the caller Arguments allow functions to work with different data, and return values help pass results to other parts of the program. This makes functions a powerful tool for building modular and dynamic programs. 📌 Day 16 completed. Making functions more flexible and reusable. 👉 Do you prefer functions that return values or functions that just perform actions? #90DaysOfPython #PythonLearning #LearningInPublic #PythonFunctions #ProgrammingBasics #BTechCSE

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

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

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

🔐 Practicing Python: Simple Password Validation Using Loops Learning Python step by step and exploring how while loops and conditional statements work together. This small program keeps asking for a password until the correct one is entered — a great way to understand loops, input handling, and control flow. Every small practice builds stronger logic 💻✨ On to the next challenge! #Python #CodingJourney #Regexsoftwareservices #LearningToCode #ProgrammingBasics #DeveloperMindset #PythonPractice #TechSkills

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

💡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

Day 3 of my Python learning and posting journey 🐍 Today I learned about typecasting and subtypes in Python, and how Python converts data from one type to another. I also understood the difference between implicit and explicit typecasting. Implicit typecasting: Python automatically converts data types when needed. Explicit typecasting: We manually convert one data type into another using functions like int(), float(), etc.I ran a small practice program to understand this better — sharing the screenshot below 👇 #Python #LearningJourney #Day3 #ProgrammingBasics #Typecasting #Consistency

#Day4 was about understanding how Python communicates information clearly. Today, I learned the difference between using f-strings and regular strings in Python. With f-strings, variables inside {} are evaluated and replaced with their actual values. Without the f, Python treats everything as plain text — no substitution happens. This small detail makes a big difference, especially for: -Debugging -Logging -Writing clean, readable output I also learned about conditionals (if, elif, else) and how programs make decisions based on logic and conditions. It was a good reminder that clear logic is just as important as correct syntax. Day by day, I’m building a stronger foundation bit by bit. On to Day 5 🚀 #365DaysOfCode #Day4 #Python #LearningInPublic #Conditionals #ProgrammingFundamentals #DataEngineeringJourney #Consistency