Django JWT Authentication vs Session Token

Learn Python web development with our comprehensive guide, covering frameworks, tutorials, and best practices for building robust web applications https://lnkd.in/gZUFX4qN #PythonWebDevelopment Read the full article https://lnkd.in/gZUFX4qN

If you’re still manually editing your settings in your Django project for every deployment, you’re doing it the hard way. Inheritance isn't just for models and views—it belongs in your configuration too. 🏗️ Check out my latest guide on splitting Django settings into Base, Dev, and Prod environments to save time and prevent "forgotten line" disasters. Check the guide below! 📄👇 #Django #Python #SoftwareEngineering #BackendDevelopment #CleanCode

Docker tip that every Python developer should know: 🐳 Always use multi-stage builds for production Python images. Stage 1 (builder): Install all deps, compile extensions Stage 2 (runtime): Copy only what you need Result: My AI agent image went from 1.2GB to 180MB. Smaller images mean faster deploys and smaller attack surface. Bonus: combine with `uv` instead of pip for 10x faster dependency resolution. What Docker optimization has saved you the most time? #Docker #Python #DevOps #CloudNative #BackendDev

Learn Python web development with our comprehensive guide, covering setting up a development environment, choosing a framework, and building a simple web application with Python https://lnkd.in/gTDFTgpV #PythonWebDevelopment Read the full article https://lnkd.in/gTDFTgpV

𝗙𝗹𝗮𝘀𝗸 𝗧𝗿𝗲𝗻𝗱𝘀 𝗮𝗻𝗱 𝗙𝘂𝘁𝘂𝗿𝗲 Flask is a micro web framework written in Python. It has a minimalist structure, giving developers flexibility to shape their applications as they want. You can use Flask to build your web applications. It is simple and easy to use. Source: https://lnkd.in/g2hRk_BN

🐍 Python Developer Nuggets — Day 17 Retries in APIs Why do APIs fail even when everything looks correct? Because failures happen… and your system doesn’t retry smartly. The problem: Request fails once and stops User sees an error Even though it might have worked on retry The solution: Retry the request Add delay between retries Limit number of retries request = call_api() # retried on failure What changes: First attempt → may fail Retry → succeeds Better user experience Fewer visible failures Don’t retry everything Retry only when: Retry when: Network issues Timeout Temporary failures Don’t retry when: Wrong input Validation errors Golden rule: Retry only when failure is temporary Retry turns small failures into success #Python #Django #BackendEngineering #SystemDesign #CleanCode #Performance #DeveloperTips

🚀 Just Built My First API Integration Project in Python! Today I worked on integrating a live Quotes API using Python and the requests library. GITHUB Repo Link:- https://lnkd.in/gdx-b94v The project fetches random motivational quotes from an online API and displays them in real-time. 💡 Key learnings from this project: How to work with APIs and endpoints Handling JSON responses in Python Using response.raise_for_status() for error handling Writing clean exception handling with try-except Saving API data into a file with timestamps 📌 Built Features: Fetch random quotes from API Display quote & author in terminal Save quotes in a text file for future use This small project helped me understand how real-world applications communicate with external services. Next step: Building a GUI-based Quote Generator App 🚀 #Python #APIs #BeginnerProjects #CodingJourney #100DaysOfCode #Developers #LearningByDoing

Managing dependencies for Python data projects can get messy fast. Docker helps you create consistent environments you can build, share, and deploy with ease. https://lnkd.in/emJPPWRT

Python - Internet Bandwidth https://lnkd.in/dNTcezPz Why download a monitoring app when you can just write 24 lines of Python? Created a custom bandwidth tracker to get live data flow straight to my terminal which is better than a GUI anyway(I am just being lazy with GUI).

🔗 Built a Simple URL Shortener using Django similar to bitly. it is a simple logic, but powerful at scale. 🎥 Sharing a quick 50-sec demo of how it works 💻 Code (GitHub): https://lnkd.in/g6VmhPa6 This is just the starting point — planning to extend it further. Architecture in comments. #Django #BackendDevelopment #SystemDesign #Python #LearningByBuilding