Backend Development Series: Practical Concepts for Python and Django

Hello LinkedIn I’ve been spending time strengthening my skills in backend development with Python and Django, and it’s been exciting seeing how everything connects — from models and views to authentication and database interactions. One thing I’m learning is that building small projects consistently teaches more than just watching tutorials. Each bug fixed and feature added builds confidence. I’m continuing to learn, build, and improve every day 🚀 If you’re also on a learning journey or working in backend development, I’d love to connect! #Python #Django #JuniorDeveloper #SoftwareDevelopment

Python or JavaScript (Node.js) for backend in 2026??? Python wins for readability, AI/ML, and quick APIs (Django/FastAPI). JS shines for full-stack magic and real-time apps (Express/Nest). This breakdown helps you pick smart. Start here, then go deep in our April Advanced Backend Bootcamp! Read Here: https://lnkd.in/dQEndKAV #PythonVsJS #MasteringBackend

Day 68 — Python vs Ruby “Which One Is Better for Web Development?” 🐍 Python Easy syntax Strong frameworks: Django, Flask Great for scalable web apps Used in AI, ML + web Large community & support 💎 Ruby Clean & expressive syntax Popular framework: Ruby on Rails Fast development for startups Great for MVPs & small-to-mid projects Smaller community compared to Python ⭐ Quick Verdict Python → scalable, secure, modern apps + AI integrations Ruby → quick startup projects & prototypes Dono languages fast development deti hain, bas use-case alag hai. #Python #Ruby #PythonVsRuby #WebDevelopment #ProgrammingLanguages #TechLearning #DevelopersOfLinkedIn #CodingJourney #SoftwareDevelopment #BackendDevelopment #100DaysOfCode #DailyTechPost #KaifTechTalks

Python's Zen emphasizes that "Simple is better than Complex." I've noticed that many people struggle with information overload. To become an interview-ready backend engineer as quickly as possible, here's a straightforward roadmap: 1. Start by learning Python. 2. Next, focus on learning Flask. 3. Then, move on to mastering PostgreSQL. 4. Become proficient in unit testing, specifically Test-Driven Development (TDD). 5. Familiarize yourself with Git and Github for version control. 6. Master REST API development using Python & Flask. 7. Gain some basic knowledge of bash scripting. 8. Continue to build on your Git and Github skills. 9. Last but not least, you need to learn about Docker and create a Github portfolio. This is all you need to become an interview-ready backend engineer within a few weeks. 📌 If you like my posts, please follow me here - António Sousa, and hit the 🔔 on my profile to get notifications for all my new posts. #python #development #testing #learning #interview #people #docker #github #softwareengineering #backenddeveloper #backenddevelopment

Day 5 of 10: The Python OOP Paradigm 🐍🏗️ We’ve hit the halfway mark! Day 5 of my 10-day Python sprint was dedicated to Object-Oriented Programming (OOP). Coming from the JavaScript ecosystem where functional programming and hooks often take the spotlight, diving into Python’s class-based architecture is a fantastic shift in perspective. Python heavily emphasizes reusable code (the DRY principle) through OOP. Here is what stood out to me today: 📌 The __init__ Constructor: This special method runs instantly as soon as an object is created. It takes the self argument and is the perfect place to set up your object's initial state. It acts much like the constructor() in ES6 classes. 📌 Class vs. Instance Attributes: Python handles state very cleanly. Instance attributes belong to the specific object, while class attributes belong to the class itself. Crucially, instance attributes take preference over class attributes during assignment and retrieval. 📌 The Explicit self: Unlike JavaScript's sometimes ambiguous this keyword, Python automatically passes self to instance methods, referring directly to the instance of the class. It leaves no confusion about what context you are operating in. 📌 Static Methods: When a function doesn't need to use the self parameter, slapping a @staticmethod decorator on it is an elegant way to bind utility functions directly to a class. Backend engineers: In modern Python development, do you prefer sticking strictly to OOP paradigms, or do you aggressively mix in functional patterns? Let’s debate below! 👇 #Python #SoftwareEngineering #OOP #10DayChallenge #CodeWithHarry

Go vs. Python: Is your tech stack fueling growth or slowing you down? 🤔 Choosing the right backend language is more than a technical choice, it’s a high-stakes business decision that impacts your scalability, speed-to-market, and bottom line. Stop guessing which language fits your vision. Start building on a foundation of data-driven technical clarity. Read the full breakdown and future-proof your build here: 🔗 https://lnkd.in/dpTmuxRz #SoftwareDevelopment #TechStrategy #Golang #Python #WebDev #CTO #EngineeringManagement

🔥 Day 59 — Python Learning “Python vs JavaScript — Which One Should You Learn First?” 🐍 Python Easy, clean, beginner-friendly Best for automation, data science, AI/ML, backend Huge community and libraries Ideal for logic-based learning Simple syntax → faster to start coding ⚡ JavaScript Essential for web development Runs in every browser Great for frontend + backend (Node.js) Huge ecosystem for web apps More syntax-heavy than Python ✅ Quick Conclusion Want to start programming smoothly → Python Want to build websites & web apps → JavaScript Want to become a full-stack developer → Learn both 📌 Both languages are powerful — your goal decides your path. #KaifTechTalks #Python #JavaScript #CodingJourney #ProgrammingLife #100DaysOfCode #LearnToCode #TechLearning #coding

Tkinter Tutorial: Building a Simple To-Do List Application In today's fast-paced world, staying organized is key. Whether it's managing work tasks, personal errands, or creative projects, a to-do list is an indispensable tool. But why settle for a static list when you can create your own dynamic and interactive application? This tutorial will guide you through building a simple, yet functional, to-do list application using Python's Tkinter library. Tkinter provides a straightforward way to create graphical user interfaces (GUIs), making it an excellent choice for beginners and experienced developers alike....

Most Python developers reach for 𝗙𝗹𝗮𝘀𝗸 or 𝗗𝗷𝗮𝗻𝗴𝗼 by default. 𝗙𝗮𝘀𝘁𝗔𝗣𝗜 is worth reconsidering that habit. Here is 𝘄𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 from the frameworks you already know. FastAPI is a modern Python web framework built on Starlette and Pydantic. It is built around three ideas: 𝘀𝗽𝗲𝗲𝗱, 𝘁𝘆𝗽𝗲 𝘀𝗮𝗳𝗲𝘁𝘆, 𝗮𝗻𝗱 𝗺𝗶𝗻𝗶𝗺𝗮𝗹 𝗯𝗼𝗶𝗹𝗲𝗿𝗽𝗹𝗮𝘁𝗲. - Every route is async by default, so it handles 𝗰𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀 well without you having to set anything up - 𝗧𝘆𝗽𝗲 𝗵𝗶𝗻𝘁𝘀 are not just decorative. Pydantic reads them at runtime to validate data, serialize responses, and catch errors early - Documentation writes itself. 𝗦𝘄𝗮𝗴𝗴𝗲𝗿 𝗨𝗜 and 𝗥𝗲𝗗𝗼𝗰 are generated from your routes and always stay in sync with your code - The request flow is straightforward: route match, Pydantic validation, database, response (see diagram) - Works well whether you are building 𝗥𝗘𝗦𝗧 𝗔𝗣𝗜𝘀, 𝘀𝗲𝗿𝘃𝗶𝗻𝗴 𝗠𝗟 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗼𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴 𝗺𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 What is keeping you on Flask or Django? #FastAPI #Python #BackendDevelopment #WebDevelopment #OpenSource

Why every Python backend dev needs Docker in 2026: Reproducibility, team consistency, and easy scaling. Step-by-step: Build images, run containers, optimize with Dockerignore, use env vars, and avoid common pitfalls. Bookmark this one: https://lnkd.in/eRKMAEqQ In the April bootcamp, you'll Dockerize real projects I.E APIs, queues, databases. As part of the full pipeline to job-ready. DM if deployment is your next goal! Enroll here: http://masteringai.dev/ #PythonBackend #DockerTutorial #SoftwareEngineering