Python OOP Basics: Classes & Objects

🚀 Day 7/30 – Python OOPs Challenge 💡 Real-World OOP Example in Python So far, we learned OOP concepts one by one. Today, let’s see how OOP works in a real-world scenario. 🔹 Problem: We want to manage student details in a clean way. Instead of using many variables, we use a class. 🔹 Real-world Example: ``` class Student: def __init__(self, name, roll_no): self.name = name self.roll_no = roll_no def show_details(self): print("Name:", self.name) print("Roll No:", self.roll_no) s1 = Student("Argha", 101) s2 = Student("Rahul", 102) s1.show_details() s2.show_details() ``` 🔹 What OOP did here? - Student → real-world entity - name, roll_no → data - show_details() → behavior Each student is a separate object. 📌 Key takeaway: OOP helps us model real-life things into code. 🎉 Week 1 completed! You’ve learned: - Class & Object - Constructor - Variables - Methods - Method types - Real-world usage 👉 Day 8: Encapsulation (coming tomorrow) 👍 Like | 💬 Comment | 🔁 Share 📍 Follow me to learn Python OOP step by step #Python #OOP #LearningInPublic #30DaysOfPython #CodingJourney

🚀 Revisiting Python Fundamentals Day 6: Flow Control Statements in Python In Python, code normally executes line by line from top to bottom. But real-world programs need more than that. They need to: Make decisions Repeat actions Control execution flow That’s where Flow Control Statements come in. Flow control statements decide which block of code runs and how many times it runs. They are mainly divided into three categories: 🔹 1️⃣ Decision Statements These are used when a program needs to choose between alternatives. Python provides: if elif else Example: age = 18 if age >= 18: print("Eligible to vote") else: print("Not eligible") Here: Python checks the condition age >= 18 If it is True, the first block runs If False, the else block runs Decision statements allow programs to behave differently based on conditions. 🔹 2️⃣ Looping Statements Loops are used when a block of code needs to run multiple times. Python provides: for while For Loop Used when the number of iterations is known. for i in range(3): print(i) This prints values from 0 to 2. While Loop Used when execution depends on a condition. count = 0 while count < 3: print(count) count += 1 The loop runs until the condition becomes False. Loops reduce repetition and make programs efficient. 🔹 3️⃣ Control Statements These are used inside loops to change their normal behavior. break → immediately exits the loop continue → skips the current iteration pass → placeholder that does nothing Example using break: for i in range(5): if i == 3: break print(i) The loop stops when i becomes 3. #Python #FlowControl #PythonBasics #LearnPython #Programming

🐍 Python Course – Day 6 (Loops in Python – for & while) 🔹 What is a Loop? A loop is used to repeat a block of code multiple times. Instead of writing the same code again and again, loops automate repetition. 🔹 The for Loop Used to iterate over a sequence (like a list or range of numbers). for i in range(5): print("Hello Python", i) Explanation: range(5) gives numbers 0, 1, 2, 3, 4 i takes each value in sequence Code inside the loop runs for each value Another example with a list: fruits = ["Apple", "Banana", "Mango"] for fruit in fruits: print(fruit) 🔹 The while Loop Runs as long as a condition is true. count = 0 while count < 5: print("Count is:", count) count += 1 Explanation: Python checks the condition first If True, runs the block Repeat until condition becomes False 🔹 Break & Continue break -> Stops the loop completely continue → Skips current iteration and moves to next Example: for i in range(5): if i == 3: break print(i) Copy code Python for i in range(5): if i == 3: continue print(i) 🔹 Day 6 Practice Task ✅ Print numbers 1 to 10 using for loop ✅ Print even numbers 1 to 20 using while loop ✅ Use break and continue in loops # For loop example for i in range(1, 11): print(i) # While loop example count = 1 while count <= 20: if count % 2 != 0: count += 1 continue print(count) count += 1 🚀 60 Days of Python – Day 6 Completed 🐍 Today I learned loops in Python – for and while loops. What I practiced today: ✔ Repeating code automatically ✔ Using break and continue ✔ Iterating over numbers and lists Copy code Python for i in range(5): print("Hello Python", i) Loops save time and make code smarter 💡 Step by step, day by day, progress counts. #Python #Programming #Day6 #LearningJourney

*Async Python: When Not to Use It* Async Python is a way to run multiple tasks concurrently without waiting for one to finish before starting the next. Python can switch between tasks, making it efficient. It's built on async, await, and event loops. It's powerful, but don't just use it without thinking 😅. *When Not to Use Async* 1. *CPU-bound tasks*: If you're doing heavy calculations, image processing, or AI/ML training, async won't help. It might even slow you down. Use multiprocessing or optimized libraries instead. 2. *Simple apps*: If your app is small with few requests and minimal background work, you don't need async. Synchronous code is easier to read and debug. 3. *Your team isn't familiar with async*: Async code can be clean until it breaks. Debugging becomes painful if your team doesn't understand event loops, await chains, or blocking vs non-blocking calls. 4. *Blocking libraries*: Many Python libraries aren't async-safe. If you call blocking code inside an async function, your app will behave like a slow app. 5. *Predictability is crucial*: Async execution isn't obvious. Stack traces are messy, and errors are random. For critical systems, simplicity is better. *The Bottom Line* Async Python is a scalability tool, not a speed booster. Don't use it just because it sounds advanced. Use it when you have plenty of I/O tasks and you've identified a bottleneck. Master synchronous Python first. Async can come later, or maybe you won't need it at all. 🌀 #python #backenddevelopment #programming

🐍 Python Course – Day 5 (If-Else Conditions) 🔹 What is Decision Making in Python? Sometimes a program must make decisions based on conditions. Python uses if, else, and elif to control decision making. 🔹 The if Statement The if statement runs code only when the condition is true. age = 20 if age >= 18: print("You are eligible to vote") Explanation: Python checks the condition If it is True, the message is printed If it is False, nothing happens 🔹 The if-else Statement Used when there are two possible outcomes. age = 16 if age >= 18: print("You are eligible to vote") else: print("You are not eligible to vote") Explanation: One block will always execute If if is false, else runs 🔹 The elif Statement Used to check multiple conditions. marks = 75 if marks >= 80: print("Grade A") elif marks >= 60: print("Grade B") elif marks >= 40: print("Grade C") else: print("Fail") Explanation: Python checks conditions from top to bottom First true condition is executed 🔹 Important Rule (Indentation) Python uses indentation (spaces) to define blocks. Wrong indentation = error. ✔ Correct: if True: print("Hello") ❌ Wrong: if True: print("Hello") 🔹 If-Else with User Input age = int(input("Enter your age: ")) if age >= 18: print("Adult") else: print("Minor") 🔹 Day 5 Practice Task ✅ Take marks from user ✅ Print grade using if-elif-else ✅ Take age and check adult or minor marks = int(input("Enter your marks: ")) if marks >= 50: print("Pass") else: print("Fail") 🚀 60 Days of Python – Day 5 Completed 🐍 Today I learned decision making in Python using if, else, and elif. What I practiced today: ✔ Writing conditions ✔ Making decisions based on user input ✔ Understanding indentation in Python age = int(input("Enter age: ")) if age >= 18: print("Adult") else: print("Minor") Learning how programs think step by step 💡 Consistency beats talent. #Python #Programming #LearningJourney #Day5

How to Switch to ty from Mypy Python has supported type hinting for quite a few versions now, starting way back in 3.5. However, Python itself does not enforce type checking. Instead, you need to use an external tool or IDE. The first, and arguably the most popular, is mypy. Microsoft also has a Python type checker that you can use in VS Code called Pyright, and then there’s the lesser-known Pyrefly type checker and language server. The newest type checker on the block is Astral’s ty, the maker of Ruff. Ty is another super-fast Python utility written in Rust. In this article, you will learn how to switch your project to use ty locally and in GitHub Actions… https://lnkd.in/d3i-mgnq

DAY 7 of Python Programming: Mini Project — Build Your First Real Python Program 🐍🎯 (This is a big milestone) 🧵👇 1/ If you’ve followed Days 1–6, pause for a second. You now know: • print() • Variables • Math • Strings • f-strings • input() That’s enough to build something real. 2/ Today’s project: 👉 Personal Info Program Your program will: ✔ Ask for a name ✔ Ask for age ✔ Ask for country ✔ Do a calculation ✔ Print a clean message This is how real apps start. 3/ Step 1: Ask the questions 👇 code name = input("What is your name? ") age = int(input("How old are you? ")) country = input("Which country do you live in? ") Notice: We converted age to a number. 4/ Step 2: Do a simple calculation 👇 Copy code Python future_age = age + 5 Python just did logic for you. 5/ Step 3: Display the result 👇 Copy code Python print(f"Hello {name}! You are {age} years old and live in {country}.") print(f"In 5 years, you will be {future_age} years old.") Readable. Clean. Professional. 6/ Full program (copy & run) 👇 Copy code Python name = input("What is your name? ") age = int(input("How old are you? ")) country = input("Which country do you live in? ") future_age = age + 5 print(f"Hello {name}! You are {age} years old and live in {country}.") print(f"In 5 years, you will be {future_age} years old.") You built this 👏 7/ Your challenge 👇 ✔ Run the program ✔ Change the questions ✔ Add one more print message Reply DONE if it worked 💪 8/ Important truth: Most people quit before this point. If you made it here, you’re officially a beginner programmer 🐍🔥 9/ Next week (Day 8): • True / False (Boolean) • Comparisons • Making decisions in code Follow & turn on notifications 💻 The real power starts next.

🚀 New Blog Published: Master Python Loops Like a Pro! 🐍 Understanding loops is a critical milestone in Python programming, and one of the most powerful loop constructs is for i in range python. Whether you’re just starting your Python journey or refining advanced logic, this blog takes you step-by-step from fundamentals to real-world applications. In this in-depth guide, you’ll explore: 🔹 How for i in range python works internally 🔹 Common mistakes beginners make (and how to avoid them) 🔹 Real-world programming and automation examples 🔹 Performance, memory efficiency, and best practices 🔹 Advanced patterns used in data science, testing, and algorithms This article is carefully designed for learners, developers, and interview preparation, making complex ideas simple and practical. 📖 Read the full blog here and strengthen your Python foundations today : https://lnkd.in/gntWua-g 👉 If you’re serious about Python, this is a must-read. #PythonProgramming #ForLoopPython #ForIRangePython #LearnPython #PythonTutorial #PythonBasics #AdvancedPython #CodingLife #SoftwareDevelopment #PythonTips #ProgrammingEducation

Day 2nd ->I started by understanding what Python is and why it’s so popular. Python’s simple syntax, readability, and massive ecosystem of libraries . * Next, I learned how "Python executes code" The process is straightforward but fascinating: 👉 You write the code → Python compiles it into bytecode → the interpreter executes it → and finally, you see the output. This behind-the-scenes flow helped me understand why Python is called an interpreted language. *I also explored "comments" and "print formatting", which are essential for writing clean code. Comments make programs readable for humans, while the "print() function" becomes more powerful with parameters like sep and end, allowing better control over output formatting. *Then came "data types" the building blocks of any program. I worked with: Integers and Floats for numbers Strings and Characters for text Booleans for true/false logic Understanding data types clarified how Python stores and processes different kinds of information. * learned about "variables" and the concept of "reinitialization" which allows changing a variable’s value anytime—simple, flexible, and very Pythonic. *Finally, I studied "identifier rules" which define how variables should be named. Following these rules ensures clarity, avoids errors, and makes code professional and readable.

🚀 New Blog Published: Master Python Loops Like a Pro! 🐍 Understanding loops is a critical milestone in Python programming, and one of the most powerful loop constructs is for i in range python. Whether you’re just starting your Python journey or refining advanced logic, this blog takes you step-by-step from fundamentals to real-world applications. In this in-depth guide, you’ll explore: 🔹 How for i in range python works internally 🔹 Common mistakes beginners make (and how to avoid them) 🔹 Real-world programming and automation examples 🔹 Performance, memory efficiency, and best practices 🔹 Advanced patterns used in data science, testing, and algorithms This article is carefully designed for learners, developers, and interview preparation, making complex ideas simple and practical. 📖 Read the full blog here and strengthen your Python foundations today : https://lnkd.in/g2KBJnbX 👉 If you’re serious about Python, this is a must-read. #PythonProgramming #ForLoopPython #ForIRangePython #LearnPython #PythonTutorial #PythonBasics #AdvancedPython #CodingLife #SoftwareDevelopment #PythonTips #ProgrammingEducation