Restarting Python Journey with 100 Days of Code

🚀 100 Days of Code – Restarting My Python Journey #Day16 of #100DaysOfCode Continuing my Python journey with 📘 “100 Days of Code: The Complete Python Pro Bootcamp” on Udemy by Angela Yu (London App Brewery). Day 16 Highlights: - Object-Oriented Programming (OOP) - Why OOP matters in real-world applications - Classes & Objects - Attributes & Methods - Working with external packages (Python Package Index) - Introduction to Turtle Graphics 🐢 🎯 Project — Coffee Machine (OOP Version ☕) Refactored the coffee machine project using OOP principles — organizing code into classes and making it more modular, reusable, and scalable. 🔗 Check out my progress here: https://lnkd.in/gAufnQ8F One key takeaway: OOP transforms messy code into structured, maintainable systems — this is how large applications are built. The focus remains: consistency + deep understanding + building in public. 💡 Small steps daily. Big results over time. More updates coming soon… stay tuned! #100DaysOfCode #Python #CodingJourney #LearnInPublic #DeveloperLife #GitHub #Consistency #Day16 #Udemy #BackToLearning #OOP

🚀 100 Days of Code – Restarting My Python Journey #Day29 of #100DaysOfCode Continuing my Python journey with 📘 “100 Days of Code: The Complete Python Pro Bootcamp” on Udemy by Angela Yu (London App Brewery). 🎯 Day 29 Project — Password Manager 🔐 Built a GUI-based password manager using Tkinter that can: - Generate strong, random passwords - Store credentials securely - Retrieve saved data when needed This project combined GUI development, file handling, and logic building to create a practical and usable application. 🔗 Check out my progress here: https://lnkd.in/gAufnQ8F One key takeaway: Building tools that solve real problems makes learning far more impactful. The focus remains: consistency + deep understanding + building in public. 💡 Small steps daily. Big results over time. More updates coming soon… stay tuned! #100DaysOfCode #Python #CodingJourney #LearnInPublic #DeveloperLife #GitHub #Consistency #Day29 #Udemy #BackToLearning #Tkinter

𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

Percy Liang used a tool called "edtrace" for his CS lectures at Stanford. I came across it, loved the idea, and wanted to take it further. So I built "lectrace", executable lecture notes in Python. Install it with pip, write your lecture as a plain Python script, and get an interactive step-through viewer on GitHub Pages automatically. If you teach CS, ML, or anything with code, this is for you. Your audience steps through the code at their own pace, watching variables highlight as they change at every step. No installation, no setup on their end. A few cool things about it: - built entirely on sys.settrace, a Python built-in most people don't know about - cite an arXiv paper with just a URL and it auto-fetches the title, authors and date - works on mobile too - zero dependencies, pure Python - push to GitHub and it deploys itself GitHub: https://lnkd.in/e5yycZbR Docs: https://lnkd.in/ei2MBRvS Would love a star if this is useful to you! #Python #OpenSource #Programming #ComputerScience #DataScience #MachineLearning #GitHub #Developer #Teaching #LearningToCode #Education #SoftwareEngineering

🚀 Super Sunday Project Series is Back! This Sunday, we are building something super practical and powerful 👇 🔥 Build a Smart Expense Tracker in Python | CRUD + Insights + Charts (Full Step-by-Step Project) This is not just another basic project… 👉 This Sunday, you will not only analyze (insight) your data, but you will also perform full CRUD operations (Create, Read, Update, Delete) like a real-world application 💯 💡 What you’ll learn in this project: • How to build a real-world Expense Tracker from scratch • Implementing CRUD operations using Python • Generating meaningful insights from your data • Visualizing data with charts 📊 • Structuring your project like a developer 🎯 Perfect for: Students, beginners, and anyone who wants to move from theory → real project building Stop just watching tutorials… https://lnkd.in/ge7g4ygV Start building something that actually matters 🚀 Don’t miss it! #Python #ProjectBasedLearning #Coding #100DaysOfCode #DataAnalysis #Programming #LearnToCode #Students #DeveloperJourney #StudyTrigger

Most students/freshers learn concepts… but fail to apply them in real-world scenarios. That’s exactly why I like this Super Sunday Project Series — to bridge the gap between learning and building. This project is not about syntax… It’s about thinking like a developer.

So, what does it take to complete 15 freeCodeCamp certs in 4 months while still in high school? In this guide, Mohammed breaks down the structured fCC path he used across web dev, Python, data analysis, and machine learning. And he talks about how building projects, being consistent, and strengthening his fundamentals = real progress. https://lnkd.in/gfQdzhMw

🐍 Leveling Up My Python Skills: Embracing Lambda Functions! Today marks another step forward in my coding journey. I’ve been diving into Lambda Functions in Python, and it’s a total game-changer for writing cleaner, more concise code! 🚀 Commonly known as anonymous functions, Lambdas allow us to write small, one-liner functions without the need for a formal def keyword. They are perfect for those "throwaway" tasks where you need functionality but don't want to clutter your workspace. 💡 Key Takeaways from My Session: Compactness: Turning multi-line functions into elegant one-liners. Functional Programming: Using them alongside map() to transform data and filter() to extract specific values. Efficiency: Perfect for higher-order functions where a function is passed as an argument. Check out the snippet below from my Jupyter Notebook, where I practiced using map to square numbers and filter to find odd integers! 💻 It’s exciting to see how these small syntax shifts can make a big difference in code readability and logic flow. #Python #CodingJourney #DataScience #WebDevelopment #ContinuousLearning #LambdaFunctions #Programming

Day 5 of my Python Full Stack journey. ✅ Today's topic: Functions — write once, use anywhere. This is where Python starts feeling like real programming. Instead of copying the same code 10 times — you wrap it in a function and call it. Here's what I typed today: def greet(name, role="Developer"): return f"Hey {name}, future {role}!" msg = greet("Punith") print(msg) # Output: Hey Punith, future Developer! Biggest lesson today: Default arguments make functions flexible. You only pass them if you want to override the default. Small thing. But it made everything click. — Here's what I covered in 5 days: → Variables & Data Types → Conditionals → Loops → Functions → Built a Calculator from scratch — pushed to GitHub ✅ 45 minutes a day. No excuses. #PythonFullStack #Day5 #Week1Done #BuildingInPublic #100DaysOfCode #Bangalore