Python Conditional Statements Explained

Day 10/100 of my #100DaysOfCode with Python. Today was all about functions with outputs (returns) and I built a Calculator program. Here’s how it works: - The program asks the user to input the first number - Then choose a mathematical operator (+, −, ×, ÷) - Then input the second number - It calculates and displays the result What makes it more interesting: - The program asks if the user wants to continue with the previous result - If yes, it uses that result as the new first number and continues the calculation (looping) - If no, it resets completely and starts a new calculation. Still learning. Still exploring. 🤔🤔 #Python #challenge #CodingJourney #BeginnerDeveloper #BuildInPublic

🐍 Day 5 of Python Learning Today we explored Loops in Python , a powerful way to repeat actions and automate tasks efficiently. 📘 Today, we explored: ✅ for loop (iterate over sequences) ✅ while loop (repeat while a condition is true) ✅ break statement (exit a loop early) ✅ continue statement (skip an iteration) ✅ Nested loops ✅ Real-life examples and use cases 💡 Why this matters: Loops help you: • Automate repetitive tasks • Process data efficiently • Build scalable and dynamic programs • Save time and reduce manual effort Mastering loops is key to writing cleaner and more powerful code. #Python #LearnPython #15DaysOfPython #Day5 #Loops #CodingJourney #PythonForBeginners #KeepLearning #GrowTogether 🚀

🚀 Just published my blog on "Mastering Python Strings"! While learning Python, I realized how important strings are in real-world applications like data cleaning, validation, and text processing. In this blog, I covered: ✅ String operations (concatenation, slicing, indexing)   ✅ Important methods   ✅ Real-world examples   ✅ Common beginner mistakes  💡 Key Learning: Mastering strings makes handling real-world data much easier. 🔗 Read here: https://lnkd.in/dnNGSJXf Thanks to Innomatics Research Labs for this learning opportunity 🙌 #Python #Programming #DataScience #Coding #Learning #Innomatics

🚀 Day 10/30 – Python Challenge Learning about tuples in Python today! 🐍 🔹 Key Concepts Covered: * Creating tuples * Accessing elements using index * Iterating through tuple elements using loops * Understanding immutability (tuples cannot be changed) 💻 Mini Task: Created a tuple of numbers, accessed the first element, and used a loop to display all the values. 🎯 Learning Outcome: Understood how tuples are used to store fixed collections of data and how they differ from lists. They are especially useful when data should not be modified. Building a strong foundation in data structures step by step 💪 #Python #CodingChallenge #LearningJourney #DataStructures #StudentDeveloper #Day10

🚀 Day 11/30 – Python Challenge Exploring sets in Python and how they handle unique data! 🐍 🔹 Key Concepts Covered: * Creating sets * Understanding that sets store only unique values * Adding elements using add() * Iterating through set elements 💻 Mini Task: Created a set of numbers, observed how duplicate values are automatically removed, added a new element, and displayed all values using a loop. 🎯 Learning Outcome: Learned how sets are useful for storing unique data and performing operations where duplicates are not needed. Understanding different data structures step by step 🚀 #Python #CodingChallenge #LearningJourney #DataStructures #StudentDeveloper #Day11

#Day11 of learning Python 🐍 Today I learned about data comprehensions in Python, including list comprehension, dictionary comprehension, and set comprehension. Practiced creating lists of even and odd numbers, filtering names based on conditions, generating dictionaries from strings and lists, and even identifying prime numbers using comprehension logic. It was interesting to see how comprehensions make code more concise, readable, and efficient compared to traditional loops. Understanding comprehensions feels like a big step toward writing cleaner and more Pythonic code. Day 11 complete — 89 days to go! 🚀 #Day11 #PythonLearning #ListComprehension #DictionaryComprehension #SetComprehension #100DaysOfLearning #CodingJourney #SkillShikshya

Day 3 of learning Python. Didn’t jump into anything complex… just focused on understanding input and output properly. At first it looked very simple — input() and print() — but when I actually tried small programs, I realized how important this is. Especially the part where Python takes everything as string by default and we need to convert it using int() or float(). Tried a few basic programs like taking numbers from user and printing the sum. Small thing, but felt good seeing it work. Feels like I’m finally building the base properly instead of rushing. Next step → learning conditions (if-else) and writing better logic. #Python #Learning #DevOpsJourney

🚀 Day 5/30 – Python Challenge Learning decision-making in Python! 🐍 🔹 Key Concepts: * Conditional statements (if, else) * Logical comparison (>=) * Controlling program flow based on conditions 💻 Mini Task: Created a program to check whether a person is eligible to vote based on their age. 🎯 Learning Outcome: Understood how conditional statements help programs make decisions and respond differently based on input. Step by step, logic is getting stronger 🔥 #Python #CodingChallenge #LearningJourney #AI #StudentDeveloper #Day5

Learn transfer learning with Python and Keras, a step-by-step guide on how to get started with transfer learning https://lnkd.in/gvXKptjf #TransferLearningWithPython Read the full article https://lnkd.in/gvXKptjf

🧠 Python Trap You’ll Probably Hit Once When you create a list using multiplication like * 3, Python doesn’t create separate inner lists. Instead, it creates multiple references to the same list in memory. So when you modify one, all of them change together. But when you use a list comprehension, each inner list is created independently. That means changes stay isolated, exactly as you’d expect. This small difference is responsible for a lot of confusing bugs, especially in nested data structures. Reference: https://lnkd.in/gWBiknUH #pythonprogramming #learnpython #coding #python