Hamim khan’s Post

Love this — such a cute and hilarious way to show how a for loop, break, and for-else can model real-world logic. I like how it reinforces input handling, control flow, and readable code, which is exactly what I’m focusing on while learning Python. Well done Hamim!☺️ #Python #LearningToCode #DataEngineering #TechCareers

Python Basics That Confuse Beginners Explained Simply Scope, lambda, map() & filter() Most beginners struggle with Python, not because it’s hard — But because core concepts aren’t explained clearly. Let’s simplify the four essentials - Scope Scope defines where a variable is accessible. Variables created inside a function stay inside — by design. - lambda For small, one-time operations, you don’t need a full function. Lambda lets you write clean, one-line logic. - map() When the same transformation is needed for every item in a list, map() applies it efficiently — no manual loops. - filter() When you only want specific values based on a condition, filter() keeps what matches and removes the rest. - Python becomes powerful when concepts are understood, not memorized. If you’re learning Python right now, Mastering these four ideas will dramatically improve how you write and read code. #Python #LearnPython #Programming #CodingBasics #SoftwareDevelopment #PythonTips #BeginnerToPro #MapFilterLambda #CleanCode

🚀 New Blog Published: Python Functions – Write Once, Use Many Times 🐍 One thing I’m realizing while learning Python is this: 👉 Clean code is powerful code. Instead of repeating the same logic again and again, we can use functions to make our programs: ✔ Organized ✔ Reusable ✔ Easy to debug ✔ More professional In my latest blog, I explained: 🔹 What are functions? 🔹 How to create them using def 🔹 Parameters and return values 🔹 Practice questions for beginners Documenting my learning journey step by step through CodingNotesHub and strengthening my fundamentals every day 💻✨ 📘 Read here: 🔗 https://lnkd.in/gYf4BzwV Consistency > Motivation 🚀 #Python #PythonForBeginners #LearningInPublic #CodingJourney #Programming #Functions #EngineeringStudents #CodingNotesHub

I just published my first blog reflecting on common mistakes beginners make with Python Lists, Dictionaries, and Sets 🐍 Sharing lessons I learned the hard way — with simple examples and real-world context. 👉 read it here: https://lnkd.in/gY9m_Y5G Learning by building, reflecting, and sharing 🚀 Would love your thoughts! #Python #DataScience #LearningInPublic #Programming #FirstVlog #InnomaticsResearchLabs

Python beginners, save this 📌 🙌 Today I understood: 👉 : List vs Tuple difference List: ✔ Changeable ✔ More memory Tuple: ✔ Faster ✔ Fixed values Use tuple when data should NOT change. Simple but powerful concept. Learning step by step every day 💪 Follow for daily Python notes 🚀 #PythonTips #Programming #DataScience #Developers #CodingLife #Python #Coding #DataScience #100DaysOfCode #StudentDeveloper #TechLearning

Understanding f-strings in Python and why they matter. Most beginners start with something like this: print("My name is", name, "and I am", age, "years old.") It works perfectly fine. But as your code grows, readability becomes more important than just making it work. That’s where f-strings come in. With f-strings, you can embed variables directly inside the string: print(f"My name is {name} and I am {age} years old.") Instead of passing multiple arguments separated by commas, you write the output exactly how it should appear and inject variables using curly braces {}. What makes f-strings powerful? • Cleaner and more natural syntax • Variables are placed exactly where they belong • You can evaluate expressions inside the string • Formatting numbers becomes simple (for example: {score:.2f}) It’s not just about shorter code. It’s about clearer communication. I’ve recently started my Python journey, moving step by step from beginner concepts toward advanced understanding. And one thing I’m already realizing: Small improvements in syntax can create big improvements in code quality. Learning. Building. Improving, one concept at a time. #Python #Programming #LearningJourney #CleanCode #DeveloperJourney #100DaysOfCode #BuildInPublic

Learning Python one concept at a time 🐍 Python Basics — Day 12 🐍 📌 Concept: Python Errors & Debugging Where real learning actually begins ⚠️ Syntax errors, type errors, name errors… Python isn’t being rude — it’s being clear. The key lesson beginners miss 👇 Errors are not failure. Errors are feedback. Every error message is Python saying: “I need clearer instructions.” Learning to read errors calmly is what turns beginners into programmers. Sharing simple explanations + practice questions to learn by doing ✍️ 💬 Comment “DONE” after solving the debugging exercises If you’re learning Python step by step, let’s connect 🤝 #Python #PythonProgramming #Debugging #CodingErrors #LearnPython #ProgrammingForBeginners #TechLearning #CodingJourney #SoftwareDevelopment

New blog out 🚀 — Mastering Python Lists with real-world examples to make learning Python simple and practical. Check it out 👇 #Python #Coding #Programming #PythonForBeginners #TechLearning #InnomaticsResearchLabs

🚀 Generate Calendar in Python in Just 4 Lines! 🐍 Did you know Python has a built-in module to generate a calendar in just a few lines of code? Python Copy code import calendar yy = 2012 mm = 12 print(calendar.month(yy, mm)) 18 February Using the calendar module, you can easily display any month and year. 💡 This is a simple but powerful example of how Python makes tasks easy with built-in libraries. If you're learning Python, try changing the year and month to see different outputs! #Python #Coding #Programming #DSA #100DaysOfCode #TechLearning #ComputerScience

🚀 Just Published My New Blog on Python Data Structures! Hi everyone 👋 I recently explored how Python actually uses data structures like Lists, Tuples, Sets, and Dictionaries behind the scenes. While learning this topic, I realized how important it is to choose the right data structure because it directly affects performance and code readability. In this blog, I explained the concepts in simple words with examples and a real-world scenario to make it easier to understand. 🔹 Key things I learned while writing this blog: ✅ How Python internally relies on data structures ✅ Difference between lists, tuples, sets, and dictionaries ✅ Why choosing the right structure matters ✅ How these concepts apply in real-world projects Writing this article really helped me strengthen my fundamentals and understand Python more clearly. 📖 You can read my blog here: [https://lnkd.in/gduKRab3] Would love to hear your feedback 😊 #Python #PythonProgramming #DataStructures #CodingJourney #LearningInPublic #Programming #CodeNewbie #FutureDeveloper Innomatics Research Labs