Kelvin Loh’s Post

Day 57 of #100DaysOfCode 🚀 Today I built a blog application using Flask 🧩 I focused on understanding how to structure a web app using Flask, including routing, templates, and handling user input. It was interesting to see how quickly you can turn a simple idea into a working blog with Python. 🔹 What I worked on: Setting up a Flask project Creating routes for home, post, and add blog pages Using Jinja2 templates for dynamic content Handling form submissions Basic styling for better UI 💡 Key learning: Flask makes backend development feel simple and flexible. Once the basics are clear, building real-world projects becomes much easier. Still a lot to improve — like adding authentication, database integration, and deployment — but this feels like a solid step forward. On to Day 58 💪 #Flask #Python #WebDevelopment #CodingJourney #LearnByDoing

📱 Ever wondered how to send SMS messages with just a few lines of Python? It’s simpler than you might think - and we’ve built a quick tutorial to prove it. 🐍 Our latest blog post guides you through creating a simple SMS-sending app with Python, Flask, and the Vonage Messages API. Whether you want to add two-factor authentication (2FA) to your app, send notifications, or flex your dev skills, this is a great place to start. Here's what you'll learn: ✅ Setting up your Vonage API account ✅ Installing the Vonage Python SDK ✅ Building a mini Flask web app with a send-SMS form ✅ Deploying it and hitting "Send" for real 🚀 And the most exciting part? You get a ready-to-clone GitHub repo with the tutorial, so you can dive right into the fun! Text messages have been around forever - but building the tech behind them? That never gets old. 😄 👉 Give it a try: https://vonage.dev/426OrMT

I just finished my complete Python Basics series. 🐍✅ And built my first 2 real projects with my own hands. 🔐 Random Password Generator — A program that creates strong, secure passwords automatically 🎮 Guess the Number Game — A fun game where the computer picks a number and you have to guess it Sounds small? Maybe. But 30 days ago I didn't even know what Python was. I couldn't write a single line of code. I didn't know what a variable was. I didn't know if programming was even for me. But I showed up every single day. When it was hard — I showed up. When I was confused — I showed up. When I wanted to quit — I showed up. And today? I built something from scratch with my own brain and my own hands. 🙌 That feeling is something nobody can take away from me. Now I'm standing at a crossroad. 🤔 I've completed Python Basics and OOP. I've built my first 2 projects. But I genuinely don't know what to do next. Should I go deeper into Python? Start Django and build websites? Learn JavaScript? Focus on SQL and databases? If you're a developer or someone ahead in this journey — I would love your advice in the comments. 👇 Your one suggestion could change my entire direction. This is just the beginning. 🚀 To every beginner reading this — Your first project doesn't have to be perfect. It just has to exist. ✨ Build it. Break it. Learn from it. Repeat. #Python #PythonProjects #100DaysOfCode #LearningToCode #PasswordGenerator #BeginnerDeveloper #CodingJourney #LearnInPublic #NeverGiveUp #PythonBeginner

Built my first Python API using FastAPI! Coming from a MERN background, I decided to explore Python backend development—and it’s been an eye-opening experience. What I built: A simple REST API with GET & POST endpoints Request validation using Pydantic models Auto-generated API docs (Swagger UI) Key Learnings: How FastAPI handles routing (similar to Express but cleaner) Request body validation without extra libraries Importance of virtual environments (and debugging them the hard way) Running production-ready APIs using Uvicorn One thing that really stood out: FastAPI feels like TypeScript + Express, but with built-in validation and performance advantages. Example: Created a POST /user endpoint that validates incoming data using a schema and returns structured responses. GitHub Repo: https://lnkd.in/gF4FFR2u Would love feedback from the community #Python #FastAPI #BackendDevelopment #LearningInPublic #100DaysOfCode

Not all Python backend frameworks are the same 🤯 If you're new to backend or just curious how apps are built, here’s a simple breakdown: 🔹 Flask → Lightweight & flexible 👉 You build everything yourself 🔹 Django → Full-stack framework 👉 Comes with admin panel, auth, database tools 🔹 FastAPI → Fast & modern 👉 Built for high-performance APIs 💡 Simple way to understand: Flask = Empty kitchen 🍳 Django = Full restaurant 🍽️ FastAPI = Smart automated kitchen ⚡ Each one is powerful — it just depends on your use case 👉 Which one do you prefer or want to learn? #Python #BackendDevelopment #Django #FastAPI #Flask #WebDevelopment #Programming #TechExplained

🐍 Day 23 & 24 of My 30-Day Python Learning Challenge 🚀 Over the last two days, I transformed my Log File Analyzer into a simple web app using Streamlit. 📌 What I Built: ✅ File Upload Feature Users can upload any text file for analysis import streamlit as st file = st.file_uploader("Upload a file") --- ✅ File Reading & Preview if file: content = file.read().decode("utf-8") st.write(content[:200]) --- ✅ Integrated My Previous Logic • Word frequency counting • Data cleaning (punctuation removal) • Stopwords removal • Top frequent words --- 📊 What This Means: • Python script ➝ Interactive Web App • More practical and user-friendly • Closer to real-world applications 💡 Key Learning: Building a UI makes projects more impactful than just writing scripts. 📊 Quick Question Which command is used to run a Streamlit app? A) python app.py B) run app.py C) streamlit run app.py D) start app Answer tomorrow 👇 #Python #Streamlit #MiniProject #WebDevelopment #LearningInPublic #SoftwareDeveloper

🚀From Basic Coding to Building with Python, Django & Al The Journey Matters We all start somewhere. Writing simple print statements, fixing small errors, and understanding logic step by step. It may feel slow at first, but that foundation is everything. Getting Comfortable with Python As you learn more, Python becomes less intimidating. Functions, modules, and syntax start to make sense. You move from confusion to clarity. Unlocking the Power of Libraries Then comes the real boost. Libraries like NumPy, Pandas, and Requests help you do more with less effort. You stop reinventing the wheel and start building faster. Leveling Up with Django & Al Now you're not just coding, you're creating real-world applications. Web apps, APIs, and even Al-powered solutions. This is where things get exciting. The Takeaway Growth in tech is gradual but powerful. Stay consistent, keep building, and trust the process. The transformation is real. #Python #Django #ArtificialIntelligence #Programming #CodingJourney #DeveloperLife #SoftwareDevelopment #LearnToCode #TechGrowth #AlProjects

Have you ever been to dependency hell? A situation where a Python library version is causing a problem in your environment, but you don’t know which library it is and which version you should choose to fix it. Plotly staff member, Celia López Monreal, created a Plotly Dash App to debug dependency issues. More precisely, the app gets insights into library versions that might be causing issues in your Python environment. https://lnkd.in/eEKZYPmj

Metaclasses in Python-The Hidden Power Behind Classes Most developers know that objects are created from classes. But here’s something many don’t realize. 👉 Classes themselves are created by something called a Metaclass 🧠 What is a Metaclass? A metaclass is simply: ➡️ A class that defines how other classes are created By default, Python uses: type Yes, the same type() you use to check data types! Let’s Break It Down When you write: class MyClass: pass Python actually does this behind the scenes: MyClass = type('MyClass', (), {}) 👉 That means: type is the default metaclass It constructs your class dynamically. Why Use Metaclasses? Metaclasses are powerful but should be used carefully . They are useful when you want to: ✅ Enforce coding standards across classes ✅ Automatically modify class attributes ✅ Register classes (plugin systems) ✅ Build frameworks (like Django ORM internally) Final Thought Metaclasses are advanced Python magic . They give you control over class creation itself — something most developers never touch. But once you understand them… You start thinking like a framework developer. Have you ever used metaclasses in a real project? Or is this your first time exploring them? #Python #AdvancedPython #BackendDevelopment #Django #SoftwareEngineering #LearnToCode

5 books. 6 database trips. That's your Django app bleeding performance. Most of the time we never notice the N+1 problem — until their app slows down under real data. Here's the fix explained as a story (swipe through) 👇 𝗦𝗹𝗶𝗱𝗲 𝟭 — You have 5 books. Each has an author. Simple. 𝗦𝗹𝗶𝗱𝗲 𝟮 — Without optimization: Django makes 6 separate DB trips. One per book. Painful. 𝗦𝗹𝗶𝗱𝗲 𝟯 — select_related() fixes it with a single JOIN. 1 trip. Everything together. 𝗦𝗹𝗶𝗱𝗲 𝟰 — But JOIN breaks with tags — Book 1 repeats 3 times. Messy. 𝗦𝗹𝗶𝗱𝗲 𝟱 — prefetch_related() makes 2 smart trips. Python glues them in memory. 𝗦𝗹𝗶𝗱𝗲 𝟲 — The rule: ONE thing → select_related. MANY things → prefetch_related. That's it. Two methods. One simple rule. #Django #Python #WebDevelopment #BackendDevelopment #SoftwareEngineering