Stop Googling the Basics. 🐍✨ Let’s be real: even after years of coding, we all occasionally forget the exact syntax for a list slice or a dictionary method. I’ve put together this Python Basic Cheatsheet designed to look as sharp as your IDE's dark mode. Whether you’re just starting your journey or you’re a pro who needs a quick visual refresher, this covers the essentials: Data Types & Functions (The bread and butter) List Operations (Indexing made easy) Control Flow (f-strings and loops) Advanced Concepts (Classes, Decorators, and Context Managers) Save this post for the next time you're stuck in a flow state and don't want to break it! #Python #Coding #Programming #SoftwareDevelopment #DataScience #WebDev #TechTips
Python Basic Cheatsheet: Data Types & Functions
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I used to think programming was just writing logic… but this changed how I see it completely. Today’s Python MahaRevision 👇 📘 Chapter 10: Object-Oriented Programming This chapter felt like a shift—from just coding to actually designing programs: → Classes & Objects → Attributes & Methods → init constructor → Understanding how real-world things map into code Practice set done: Created basic classes, worked with objects, initialized values, and tried structuring small programs using OOP concepts. At first, it felt a bit abstract. But once it started making sense, I realized— This is how bigger, real-world applications are actually built. Still a lot to learn, but this felt like a big step forward. #Python #LearningInPublic #CodingJourney #Programming #OOP
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Week 3 of #100DaysOfCode — done! 🎉 This week I started thinking in objects. Topics covered: 🧱 Classes & Objects → What OOP actually is (and why it matters) → Classes, instances, attributes, methods → public, _protected, and __private attributes → __init__, self, and how Python works under the hood 🔒 Properties → @property — the Pythonic way to write getters & setters → No more get_age() / set_age() — just person.age ✅ ⚙️ More Classes → __str__ vs __repr__ — and why both matter → Class attributes vs instance attributes → @classmethod and @staticmethod → __dict__, getattr, dynamic attributes I’ve structured my learning into notes and practical examples to better understand the concepts : https://lnkd.in/epaBymnJ 21 days down. 79 to go. 💻 #100DaysOfCode #Python #LearningInPublic #Programming
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🚀 Day 2 of My 30-Day Python Journey Building on the fundamentals, today was all about understanding how Python handles logic and user interaction. 🔹 What I explored today: • Working with operators arithmetic, comparison, and logical • Writing expressions to perform calculations and evaluate conditions • Taking dynamic user input and converting data types • Improving output formatting using clean and readable approaches 💡 Key Takeaway: Programming isn’t just about writing code it’s about thinking logically. Operators and input handling form the backbone of decision-making in any application. 🧪 Practice Focus: Created small programs like a basic calculator and an even/odd checker to reinforce concepts. 📌 Next Step: Moving into conditional statements and control flow to build more intelligent programs. Consistency and clarity are the goal. Let’s keep progressing. 💻 #Python #CodingJourney #LearnToCode #Developers #Programming #TechGrowth #100DaysOfCode
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🧠 I built my own programming language — and here it is running on CLI. This is GreyMatter — a custom interpreted language I built from scratch using Python and SLY. What you're seeing in this terminal: → The GreyMatter interpreter starting up (v0.01) → A variable being assigned: a = 50 → An IF/ELSE conditional executing in real time → Output: a is even ✅ The entire interpreter was built by me — from the Lexer and Parser to the AST and Runtime Engine. Why did I build this? Because the best way to understand how Python, JavaScript, or any language works... is to build one yourself. Every keyword you type, every error you get, every output on your screen — there's an entire pipeline behind it. Building GreyMatter made me truly understand that pipeline. 🔗 GitHub: github.com/Abineshabee Drop a 🧠 in the comments if you'd like to see more about how it works! #Python #Programming #OpenSource #BuildInPublic #ComputerScience #InterpreterDesign #GreyMatter #StudentProject #Ben10
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Over the past few weeks, I’ve been diving deep into Python and strengthening my programming fundamentals 🚀 Here’s a quick snapshot of what I’ve been working on: Python basics and core syntax Data structures (lists, tuples, sets, dictionaries) Loops and loop control statements Built-in functions for cleaner and efficient code List and dictionary comprehensions for writing more concise and readable logic It’s been a great learning experience moving from understanding concepts to actually applying them in practice. Comprehensions, in particular, have completely changed how I approach writing cleaner code! Still a long way to go, but I’m enjoying the process of building consistency and problem-solving skills every day. Looking forward to exploring more advanced topics and working on real-world projects soon! #Python #LearningJourney #Programming #DataAnalytics #Coding #BeginnerToPro
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🐍 Lab #3 is Live — Exploring Basic Operators in Python! Just published the third lab in my Programming Fundamentals series, and this one dives deep into the building blocks every Python programmer must master! 💡 ✅ What's covered in Lab 3: 🔢 Arithmetic Operators — +, -, *, /, //, %, ** 📝 Assignment & Compound Operators — +=, -=, *=, and more ⚖️ Comparison Operators — ==, !=, <, >, <=, >= 🔗 Logical Operators — and, or, not 📌 Operator Precedence — because order matters! 💬 Fun fact: In Python, = is assignment and == is comparison — a tiny difference that causes BIG bugs for beginners! 😄 Whether you're just starting your coding journey or brushing up on the fundamentals, understanding operators is non-negotiable. Every program you'll ever write depends on them! 🎯 Lab includes: → 30 Practice Questions across all operator types → 10 Input-Based real-world exercises → Clear examples with expected outputs Consistency is the key to mastering programming. One lab at a time! 🚀 📌 Follow along as I continue this series — more labs coming soon! #Python #Programming #ProgrammingFundamentals #LearnPython #Lab3 #Operators #Python101 #CodingJourney #TechEducation #UniversityOfLahore #CSStudents #100DaysOfCode
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Hi guys, I know it’s delayed—now let’s dig into Python again for this post! 💭 Day 3 with Python… something finally clicked. The errors didn’t stop. The confusion didn’t magically disappear. But today… I wrote something that actually worked. Not just print("Hello, World!") Not just fixing errors… 👉 I made decisions in my code. Using if...else, my program could finally think (at least a little 😄) “IF this happens → do this” “ELSE → do something else” And suddenly, coding didn’t feel like typing… It felt like logic coming to life. 💡 That’s when I realized: Programming isn’t about memorizing syntax. It’s about teaching a machine how to think step by step. Every small concept—conditions, loops, functions— They’re not just topics… They’re building blocks of something bigger. Today it’s simple decisions. Tomorrow? Maybe something powerful. ✨ Step by step… line by line… growth is happening. #Python #CodingJourney #Day3 #LearnToCode #Programming #DeveloperLife #LogicBuilding #TechGrowth 🚀
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Just wrapped up going through a comprehensive set of Python notes — and what a journey it’s been! 🐍 From understanding the basics like syntax, data types, and control flow to diving into advanced topics like OOP, file handling, APIs, and libraries — this learning experience truly strengthened my foundation. What I love most about Python is its simplicity and versatility — whether it's data analysis, automation, or building real-world applications, the possibilities are endless. Now onto applying these concepts in real projects 🚀 #Python #LearningJourney #DataAnalytics #Programming #Upskilling
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🚀 Day 14 of My Python Learning Journey Yesterday’s session was all about strengthening my understanding of loops and data type conversions — and honestly, it helped me connect multiple concepts together. 🔹 What I learned: How for loops work with range(start, end, step) Generating sequences like even numbers using step values Converting between data types: String → int, list, tuple Int → string, float List ↔ tuple, tuple → list List of tuples → dictionary Reversing a string using loops and slicing Checking for palindrome strings Writing logic to identify even and odd numbers 🔹 Key takeaway: Understanding loops deeply makes problem-solving much easier. Small tasks like reversing a string or checking palindrome really build strong logic 💡 📌 Practiced multiple mini problems to strengthen fundamentals and improve coding confidence. Consistency is starting to pay off — one step closer to becoming a better developer 🚀 #Python #LearningJourney #Coding #100DaysOfCode #Programming #DeveloperGrowth Codegnan BhanuTeja Garikapati
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🚀 Mini Project Showcase: Rent Calculator using Python I recently built a simple yet practical Python project that calculates the per-person cost of living in a shared accommodation. This program takes inputs like rent, food expenses, electricity usage, and number of people, and then computes how much each individual needs to pay — making expense splitting quick and hassle-free. 🔹 Concepts used: - User input handling - Basic arithmetic operations - Clean and readable code structure 💡 This project helped me strengthen my fundamentals and understand how coding can solve everyday problems efficiently. Looking forward to building more such real-world projects! #Python #Programming #BeginnerProjects #CodingJourney #LearningByDoing #TechSkills
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