How to Create a Secure API with Flask and JWT in 6 Lines

When building FastAPI apps, we often focus on routers, schemas, and dependencies — but forget the quiet little hero that holds it all together: 👉 __init__.py Yes, it’s usually empty — yet incredibly powerful. Here’s why 👇 ⚙️ It tells Python that the folder is a package, not just another directory. 📦 It allows relative imports like from .models import User. 🧠 It keeps your app modular and scalable as you split routers, services, and utils. 🪄 It can even run package-level setup logic, like initializing logs or environment configs. Even though Python 3.3+ allows “implicit packages,” adding __init__.py is still a best practice — it makes your FastAPI structure clean, predictable, and bug-free. 💬 Funny how an empty file can make such a big difference, right? #FastAPI #Python #BackendDevelopment #CleanCode #WebDevelopment #Developers

After diving deep into web automation, it’s time to step into mobile! 📱 Trying out Appium, POM, Pytest, and Allure Reports for some fun mobile automation. 🚀 Source here: https://lnkd.in/gaPN7vwY. ⚒️ #QAEngineer #MobileAutomation #Python #Appium #Pytest #AllureReport

🚀 𝐃𝐣𝐚𝐧𝐠𝐨 𝟔.𝟎 𝐢𝐬 𝐡𝐞𝐫𝐞! ✨ 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 1. 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐎𝐑𝐌: Now supports advanced analytics-style queries — ranking, running totals, moving averages, and lag/lead — all within the ORM! 2. 𝐁𝐮𝐢𝐥𝐭-𝐢𝐧 𝐂𝐒𝐏: Strengthen app security with new ContentSecurityPolicyMiddleware. 3. 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐏𝐚𝐫𝐭𝐢𝐚𝐥𝐬: Reuse and modularize templates with {% partial %}. 4. 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐓𝐚𝐬𝐤𝐬: Run async tasks easily using the new @task decorator. 5. 𝐒𝐮𝐩𝐩𝐨𝐫𝐭: Python 3.12–3.14 support only. Django 6.0 takes productivity and performance to the next level. 💪 #Django #Django6 #Python #WebDevelopment #TechUpdate #PythonDeveloper #PythonPrograming #LLM #DataEngineering

API Caching — Speeding Up Responses API caching stores frequent responses so the server doesn’t process the same request again. It reduces latency, saves bandwidth, and boosts overall performance. Caches can exist at multiple layers — browser, CDN, or server-side — depending on the use case. #SystemDesign #API #Caching #BackendDevelopment #Performance #Optimization #SoftwareArchitecture #Scalability #Python #FastAPI

💡 Flask 101: request.args vs request.form — The Real Difference One line of code can save hours of debugging. 👇 ✅ request.args → Data from the URL (GET) username = request.args.get("username") # /login?username=Shubh ✅ request.form → Data from a submitted form (POST) username = request.form.get("username") 🔹 args = comes from the address bar 🔹 form = comes from user input Once you get this, Flask starts to feel effortless. Your frontend and backend finally speak the same language. #Flask #Python #WebDevelopment #CodingTips #BackendDevelopment #LearningJourney

🚀 Excited to share my latest project! I’ve built a Bulk Email Sender Application in Python, using Tkinter, pandas, os, and other libraries. This application allows users to send automatic bulk emails through Gmail using their Gmail credentials, all from an easy-to-use GUI. 🔹 Key Highlights: • Simple and clean GUI built with Tkinter • CSV/Excel data handling using pandas • Automated bulk email sending via Gmail • Cross-platform and efficient If anyone wants the code or wants to see how it works, feel free to message me — happy to share and help! 😊 #Python #Automation #Tkinter #pandas #GmailIntegration #EmailAutomation #BulkEmailSender #AutomaticEmailSharing #BulkEmailSharing #PythonProjects #Tech #Developers #Coding

⚙️ Master REST APIs with Python in 2025 APIs are the backbone of the modern web — from login systems to AI integrations. If you know how to build and use REST APIs, you can connect anything to everything 🌐 Here’s what you can do with Python + REST APIs: 1️⃣ Build APIs — with Flask or FastAPI 2️⃣ Consume APIs — using the Requests library 3️⃣ Secure APIs — with JWT & OAuth2 4️⃣ Document APIs — using Swagger / OpenAPI 5️⃣ Deploy APIs — on Render, AWS, or Heroku 💡 Pro Tip: Start small — build a simple “To-Do List” API and connect it to a frontend later! APIs make your apps talk to the world 🌎 💬 Have you ever built or used a REST API? #Python #API #RESTAPI #WebDevelopment #FastAPI #Flask #BackendDevelopment #SoftwareEngineering #LearningJourney #Programming

The library you learn first isn't the one you scale with. httpx picks up where Requests stops-async, HTTP/2, the works. Requests works great for getting started, but httpx is where serious Python projects are heading. The difference becomes obvious once you hit real-world scaling challenges. Here's what makes httpx worth the switch: • Dual mode support: Same API for both sync and async requests. No more juggling different libraries when you need concurrent HTTP calls. • HTTP/2 protocol: Built-in support means faster, more efficient connections without extra setup. • Better connection pooling: Advanced timeout controls and resource management that actually matter under load. • Drop-in compatibility: The API feels familiar if you know Requests. Migration is straightforward. Requests handles simple scripts just fine. But when you're dealing with hundreds of concurrent requests or integrating multiple third-party APIs efficiently, httpx's async support becomes the difference between a system that works and one that performs. The performance gains in high-concurrency scenarios are substantial. Plus, you're future-proofing your HTTP client layer instead of painting yourself into a corner. For new projects that need to scale, httpx is the modern choice. For quick scripts, Requests still gets the job done. #Python #BackendDevelopment #AsyncProgramming

What if Python treated WebSockets as a first-class citizen — not an afterthought? Imagine building real-time systems — chats, dashboards, multiplayer apps — with: - "Async from top to bottom" - "Zero blocking" - "Rust-level speed under the hood" Most teams today face this trade-off: ⚙️ Django: solid ecosystem, but not truly async (WebSockets feel bolted on) ⚡️ FastAPI: modern and async, but WebSockets and background tasks still get tricky at scale 🧠 Something new: what if a framework gave you both — Python’s simplicity and Rust’s concurrency? Hypothetically — if you could get 5–10× more concurrent connections, lower latency, and native real-time features (rooms, presence, pub/sub) out of the box… 👉 Would you switch? I’d love to hear honest thoughts — what stops you from building truly real-time apps in Python today? #python #websockets #realtime #rust #async #webdev #opensource

Sometimes you'll need to screenshot a webpage - but doing this manually isn't scalable. In this tutorial, Ashutosh helps you build a Python Flask app that takes a URL, calls a screenshot API, and returns an image. You’ll learn about HTML forms, HTTP requests, dynamic image display, and more. https://lnkd.in/gzPcSKmS