Python-For-Beginners Repo I just published the first exercise in my new repo: Python-For-Beginners. Not because I’ve mastered Python. Because I needed better and consistent practice. When you’re starting out, tutorials feel good. But exercises? That’s where the real learning happens. So I created a GitHub repo where I’ll be adding: ✅ Beginner-friendly practice exercises ✅ Clear problem descriptions ✅ My own solutions ✅ Room to improve over time I’ve just added the first exercise. Nothing advanced. Nothing flashy. Just real beginner reps. This repo will grow as I grow. If you’re learning Python too, you can practice alongside me instead of guessing what to practise/build next. If that sounds useful, add the repo to your Watch list and follow along. More exercises coming soon 👇 P.S. Repost if you find this useful or helpful for other Tags #Python #PythonProgramming #PythonDeveloper #PythonBeginner #CodingJourney #Programming #TechCareers #BeginnersMindset #Consistency #SelfTaught #CareerGrowth #Upskilling
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--> Python is more than just syntax— it's a problem-solving mindset. => I’ve been working on a comprehensive series covering everything from absolute basics of Python to crucial, all-around, and advanced concepts. => Whether you are just starting your coding journey or looking to solidify your foundation, these videos are designed to bridge the gap between learning and doing. And for my OS enthusiasts—I’m thrilled to share that the Operating System videos are officially ready to be staged! 🖥️✨ I’ve already posted the initial Python basics on my "YouTube" : https://lnkd.in/g3yKyUCC and "Instagram" : https://lnkd.in/gYiApRpE If you're tired of endless, confusing tutorials and want straight-to-the-point technical content, check out the links in the comments below 👇 Key Focus: Practical Python, Efficient Code Goal: Build a robust, real-world skill set 🚀 Let me know in the comments: What is the one Python topic you find the hardest to master? 👇 #Python #Programming #CodingLife #PythonLearning #OS #TechContent #Networking #LinkedInLearning #Developer #BeginnerCoder #CodeWithMe
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From “I don’t get it” to “Oh, now it makes sense.” Most beginners don’t struggle with Python syntax. They struggle because no one explains the logic with empathy. So I built a small project called: -Class Attendance Analyzer Through this project, beginners learn: -How to search items in a list -How to count frequency using dictionaries No fancy tricks. No overengineering. Just real-life thinking turned into code. If you’ve ever felt: “Programming is not for me.” I’ve been there. And that’s exactly why I teach it this way. Because good code starts with clear thinking, And good teaching starts with empathy. Let’s make learning feel human again. #PythonBangla #PythonBeginner #LearningWithEmpathy #CodingIsNotScary #ProblemSolving #StudentLife #ProgrammingJourney
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🚀 Day 9— 100 Days of Code Challenge I’m excited to share my learning progress on Day 9 of the #100DaysOfCode challenge. Today’s session was both engaging and insightful, as I explored the concept of functions with inputs, arguments, and parameters in Python. This project was very interesting because it helped me understand how to make programs more dynamic, reusable, and structured. 🔹 Objective: The main objective was to learn how functions can accept inputs and how arguments and parameters work together to pass data within a program, making the code more flexible and modular. 🔹 Implementation Details: • Defined functions to perform specific tasks • Passed values using parameters and arguments • Collected user inputs and processed them through functions • Generated outputs based on provided inputs • Improved code readability and organization using modular design 🔹 Concepts Learned: ✅ Functions with parameters and arguments ✅ Input handling within functions ✅ Code reusability and modular programming ✅ Logical thinking and structured problem-solving ✅ Writing clean and maintainable Python code 🔹 Key Takeaway: Understanding functions with inputs is an important step toward writing scalable programs. It allows developers to break down complex problems into smaller, manageable components. This project was very interesting and helped me gain more confidence in applying Python concepts practically. Looking forward to continuing this journey with consistency and dedication. #Day9 #100DaysOfCode #Python #CodingJourney #LearningInPublic #Programming #DeveloperJourney
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🚀 Excited to Share my Journey of Learning Python (Series 1 of 4) 🐍 I’ve created a GitHub repository focused on learning the core basics of Python. This repository contains beginner-friendly materials and practice examples on: 🔹 Python Strings 🔹 Conditional Statements (if, elif, else) 🔹 Variables 🔹 Data Types (int, float, string, boolean, etc.) As I continue my journey in Python and data-related skills, I’m building strong fundamentals step by step. 📄 I’ve also prepared a PDF guide for quick revision and practice. Feel free to explore the repository and the PDF guide — your feedback is always welcome! Check the repo here: https://lnkd.in/gQtGfiq6 Download the PDF here: https://lnkd.in/g6C2cpUC Series 2 is coming very soon ........ 😊 #Python #Programming #LearningJourney #DataAnalyticsJourney
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📅 Day 6 — Classes & Exception Handling (Writing Smarter and Safer Code) Today’s learning introduced two concepts that made Python feel more structured and practical. 🔹 Classes (Object-Oriented Programming) Until now, I was writing small pieces of code. But classes help organize related data and functions together. Example idea: class Student: def init(self, name, marks): self.name = name self.marks = marks A class acts like a blueprint. Using this blueprint, we can create multiple student objects with their own data. This helps when working with larger datasets or real-world applications. 🔹 Exception Handling While coding, errors are normal. But instead of the program crashing, Python allows us to handle errors gracefully. Example: try: result = 10 / 0 except: print("An error occurred") This prevents the program from stopping suddenly and helps manage unexpected situations. ✨ What I understood today • Classes → Help structure and organize code • Exception Handling → Helps manage errors smoothly Learning Python step by step is slowly helping me see how real applications are built. #Day6 #PythonLearning #DataAnalyticsJourney #Codebasics #OnlineCredibility
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From Notes to Knowledge Systems Most people take notes. Few build knowledge systems. There’s a difference. I used to write Python notes. Now I build connections between: 👉 Concepts 👉 Exercises 👉 Mistakes 👉 Projects Every note links to another. Every concept becomes searchable. Every mistake becomes documented. Learning stopped being random. It became architectural. Do you review your mistakes… or just move on from them? P.S. Repost if you find this useful or helpful for other Tags #Python #PythonProgramming #PythonDeveloper #PythonBeginner #CodingJourney #Programming #TechCareers #BeginnersMindset #Consistency #SelfTaught #CareerGrowth #Upskilling
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Discipline > Motivation. Every single time. I used to think progress in programming depended on motivation. But... It doesn’t. It depends on small systems you repeat daily. Lately my learning looks pretty simple: - working through Python tasks - refactoring code after feedback - solving one problem properly instead of ten quickly - writing notes I’ll review tomorrow Nothing flashy. No breakthrough moments. Just consistent work that slowly compounds. What I’m really learning isn’t only Python. It’s how to stay calm when code doesn’t work, improve after review, and build structure instead of waiting for inspiration. Quiet progress isn’t very visible. -> But it’s probably the most reliable kind. #MateAcademy #LearningJourney #DeveloperJourney #PythonLearning #Git #BecomingADeveloper
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🚀 Day 45 | Python Lists Practice 10000 Coders Today I practiced Python Lists and solved several problems to understand how lists work and how they help manage multiple values efficiently. During today’s practice, I focused on performing different operations on lists such as accessing elements, looping through lists, and applying logic to solve problems. The problems I solved include: • Find the Largest Element in a List – Iterating through the list and comparing values to find the maximum number. • Find the Smallest Element in a List – Identifying the minimum value using comparison logic. • Sum of Elements in a List – Adding all numbers using a loop. • Count Even and Odd Numbers – Checking each element using conditional statements. • Reverse a List – Reversing the order of elements using loops/slicing. • Find Duplicate Elements – Detecting repeated values in a list. • Remove Duplicates from a List – Creating a new list with unique elements. • Find the Second Largest Number – Sorting or comparing values to get the second highest element. By solving these problems, I improved my understanding of: • List operations in Python • Using loops with lists • Applying conditions on list elements • Writing clean and logical Python programs Step by step, I am improving my problem-solving skills and gaining more confidence in Python programming. 💻 #Day45 #Python #Lists #ProblemSolving #ProgrammingLogic #10000Coders #FullStackJourney
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One thing I realized while learning to code: Good programmers don’t know everything. They just know how to figure things out. When I first started learning Python and Web Development, I thought I had to remember every syntax and every concept. But slowly I understood that the real skill in coding is: • Breaking a problem into small steps • Searching for solutions when you get stuck • Debugging patiently until the code works Coding isn’t really about memorizing things. It’s more about thinking logically and solving problems. Still learning. Still improving. One bug at a time 🚀 #Python #CodingJourney #ProblemSolving #ComputerScience #LearningToCode
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🕹️ Interactive Python Project: Tic-Tac-Toe from Scratch I’m excited to share a project I’ve been working on: a fully functional, terminal-based Tic-Tac-Toe game built with Python! 🐍 Building this was a great deep dive into: Game Logic: Implementing win-condition checks and draw scenarios. Data Mapping: Using dictionaries to translate user inputs into board coordinates. State Management: Handling player turns and real-time board updates. 🚀 Want to play? I’ve set up this repository with GitHub Codespaces, so you can run the game directly in your browser without installing anything! How to play: Click the GitHub link below. Click the "Open in GitHub Codespaces" button in the README. Once the environment loads, type python3 tictactoe.py in the terminal and hit Enter! Check out the source code here: https://lnkd.in/emtBFZDy #Python #Coding #OpenSource #GitHub #SoftwareDevelopment #LearningToCode #Portfolio
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The Link to the Repo: https://github.com/Th3-Beast/Python-For-Beginners