Today, on Day 4 of 10 days of python, I learned about errors and exception handling in Python, and it really helped me understand why programs sometimes break, and how to handle it better. So far, I’ve been introduced to some common Python errors: NameError - when you use a variable or function that hasn’t been defined SyntaxError - when Python can’t understand the structure of your code ValueError - when the type is correct, but the value itself is invalid I also learned that many runtime issues can be handled using try-except blocks, which allows a program to continue running instead of crashing. Learning how to recognize errors, and knowing when and how to handle them, feels like an important step in writing more reliable Python code. #Python # #10daysofpython #TechSkills
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🚀 Python Practice | Match-Case Statement (Python 3.10+) Today I practiced Python’s match-case statement by building a simple calculator program. 🔹 It takes: Two numbers An operator (+, -, *, /) 🔹 Features: Uses match-case instead of if-elif Handles invalid operators Prevents division by zero Beginner-friendly and clean logic This helped me understand how match-case improves readability and decision-making logic in Python. 📚 Learning step by step and sharing my journey publicly to stay consistent. Feedback and suggestions are always welcome 🙌 #Python #MatchCase #PythonProgramming #100DaysOfCode #LearnPython #CodingJourney #StudentDeveloper #Programming
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Python Functions: Why They Matter Functions are one of the most important building blocks in Python. They help us write clean, reusable, and maintainable code. ✅ What are functions used for? Functions allow us to: Organize code into logical blocks Avoid repetition (DRY principle — Don’t Repeat Yourself) Improve readability, testing, and maintenance Credit: Corey Schafer (YouTube)- https://lnkd.in/eRUuu_gi 📌 Example: Days in a Month (with Leap Year Logic) #Python
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🚨 Reminder for anyone who wants to learn Python: This is one of the most-watched Python tutorials on YouTube (46M+ views) — a great starting point if you’re learning from scratch. ▶️ https://lnkd.in/dGk73-QZ #Python #Programming #LearnToCode #SoftwareDevelopment #DataScience
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Python: HowTos: Perform a Set Difference or Find Missing Items in a List Here’s a beginner-friendly example. #python #pythonhowtos #programming #technology #setdifference https://lnkd.in/e2uJqVFV https://lnkd.in/eBNYidTP
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🐍 Python Basics Made Simple: Variables Starting out with Python? One of the first concepts you’ll meet is variables. Think of them as little boxes 🎁 that hold values you can reuse later. Here’s what makes Python beginner‑friendly: - ✔ No need to declare data types — Python figures it out for you! - ✔ Use = to assign values - ✔ Variables can store numbers, text, or more complex data 📽 Rules for Naming Variables: - Must start with a letter or underscore _ - Can contain letters, numbers, and underscores - Case‑sensitive (so Name and name are different!) 💡 With just these basics, you can already start writing your first Python programs. Keep practicing, and soon you’ll be building projects that bring your ideas to life. #Python #CodingForBeginners #LearnToCode #ProgrammingMadeEasy
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What is a coroutine function in Python? A coroutine function in Python is a function defined using async def that can pause and resume its execution. - A coroutine function returns a coroutine object when called. - It does not run immediately like a normal function. - It runs only when you await it (inside another async function) or run it using an event loop. #python #async #await #learning #coding #programming An example 👇
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🚀 Python OOPS – Day 7 🔧 __init__() Method (Constructor in Python) The __init__() method is Python’s constructor, automatically executed when an object of a class is created. Its main purpose is to initialize instance attributes and prepare the object for use. In simple terms: ➡ Class = Blueprint ➡ Object = Actual instance ➡ Constructor = Sets initial values inside the object The method takes self as its first parameter, representing the specific instance being created. 📝 Key Highlights ✔ Called automatically during object creation ✔ Initializes attributes with default or custom values ✔ Makes objects ready for immediate use Example use cases: 🎯 student registration, 🎯 user account creation, 🎯 order processing—all require initialization at the moment of creation.
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🚀 Python OOPS – Day 7 🔧 __init__() Method (Constructor in Python) The __init__() method is Python’s constructor, automatically executed when an object of a class is created. Its main purpose is to initialize instance attributes and prepare the object for use. In simple terms: ➡ Class = Blueprint ➡ Object = Actual instance ➡ Constructor = Sets initial values inside the object The method takes self as its first parameter, representing the specific instance being created. 📝 Key Highlights ✔ Called automatically during object creation ✔ Initializes attributes with default or custom values ✔ Makes objects ready for immediate use Example use cases: 🎯 student registration, 🎯 user account creation, 🎯 order processing—all require initialization at the moment of creation.
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