CSRF vs CORS in Django: Protection & Access Control

Official SDKs for JavaScript and Python 🚀 Building on SchedulifyX just got easier. Our SDKs wrap the entire REST API with: 🟡 JavaScript/TypeScript SDK Full TypeScript types and autocomplete Async/await patterns npm install @schedulifyx/sdk 🐍 Python SDK Type hints throughout Async support pip install schedulifyx Both SDKs include built-in auth, error handling, pagination helpers, and retry logic. Whether you're building a custom CMS integration, automated reporting, or a white-label dashboard — ship it in hours, not days. → schedulifyx.com #SchedulifyX #SDK #JavaScript #Python #DevTools #API #SocialMediaAutomation

I noticed that every time I start a new Python project, I repeat the same steps again and again. create virtual environment select python version setup basic project structure configure environment install dependencies It takes time, and each project setup becomes slightly different. If you have used npm, you know how simple it is to start a project. It works smoothly across many JavaScript frameworks with a consistent workflow. But in Python, setting up a new development environment is still not that simple. Each time we configure things manually, and the process is not standardized. So I built 𝗱𝗲𝘃𝗶𝘁-𝗰𝗹𝗶. It is a simple CLI tool that initializes a Python development environment in seconds. Just run: 𝗱𝗲𝘃𝗶𝘁 𝗶𝗻𝗶𝘁 During setup you can choose: 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝘁𝘆𝗽𝗲 • Python Package • FastAPI • Django • AWS Scripts 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 • New venv • Existing Python interpreter • New conda • Existing conda env • Skip 𝗣𝘆𝘁𝗵𝗼𝗻 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 • for example 3.11 Reduce repetitive setup work and keep project structure consistent o7. 𝗣𝘆𝗣𝗜: https://lnkd.in/g2VzfWFy Feedback is welcome. #python #opensource #cli #developer #automation #devtools #productivity

🐍 Python & Django is not just a stack — it’s an engineering advantage. In a world of constantly evolving frameworks, one combination continues to prove its strength in production systems: 👉 Python + Django Not because it is trendy — but because it is reliable, scalable, and battle-tested. Django provides what most backend systems struggle to achieve: 🔹 Clear architecture by design A structured framework that enforces best practices instead of relying on discipline. 🔹 Rapid API development without compromising quality With tools like Django REST Framework, building secure and scalable APIs becomes systematic — not improvised. 🔹 Built-in security at the core Protection against common vulnerabilities (CSRF, XSS, SQL injection) is not an add-on — it is part of the framework. 🔹 Scalability through simplicity Clean models, ORM efficiency, and modular design make systems easier to evolve and maintain. In real-world systems, the strength of a backend is not measured by complexity — but by how well it handles growth, change, and integration. 💡 The real power of Django is not just in building APIs — but in building systems that last. #Python #Django #BackendDevelopment #APIs #SoftwareEngineering #SystemDesign #TechForImpact

Optimizing Django Queries: How to Avoid N+1 Problems One of the quickest ways to slow down your Django backend is the classic N+1 query issue. While working on Inboxit, I had to be deliberate about this especially when dealing with relationships between models. The fix I use most often: prefetch_related() It’s perfect for optimizing reverse relationships (when you have a ForeignKey pointing to your model and you need to access related data). Instead of making one query per object (which explodes with more records), prefetch_related fetches all the related data in just two queries one for the main objects and one for the related ones. This small change keeps response times fast and your API scalable as usage grows. Have you run into N+1 issues in your Django projects? What’s your go-to optimization technique? #Django #DRF #Python #BackendDevelopment #QueryOptimization #TechNigeria #webdev

PHP vs Python — one powers the web, the other powers the future. PHP excels in fast, scalable web development, while Python leads in AI, automation, and data-driven solutions. Choose based on your goals.

A thought-provoking piece for crafters: "GitHub - Distributive-Network/PythonMonkey: A Mozilla SpiderMonkey JavaScript engine embedded into the Python VM, using the Python engine to provide the JS host environment." PythonMonkey embeds Mozilla's SpiderMonkey JavaScript engine directly into the Python runtime, letting developers call JavaScript from Python and Python from JavaScript within the same process — no serialization or IPC required. The project shares memory backing stores between languages for strings, typed arrays, and buffers, making cross-language data transfer extremely fast. Python dicts and lists automatically behave as JS objects and arrays (and vice versa), with full method support through proxy wrappers. It ships with a CommonJS module system, an event loop (supporting setTimeout and Promises as Python awaitables), and standard JS globals like console and XMLHttpRequest. The project reached MVP in September 2024, installs via `pip install pythonmonkey`, and Distributive actively maintains it while welcoming external contributions.

Are you a C# developer tired of figuring out what your AI agent just scripted? Reviewing code you're about to run, switching context to Python or JavaScript, mentally translating from one to C# and hoping it does what you assume? What if your agent just wrote C#, the language you've been writing all day? In this article I look at .NET 10's file-based scripting with dotnet run file.cs, how it compares to Python and PowerShell, and how you can teach your AI agent to use it with a simple skill file. One config change and every script your agent writes is code you can read at a glance, without switching languages. https://lnkd.in/eem84zg9

Choosing a backend stack in 2026? Don't let hype decide for you. 📊 Compare how PHP 8.x, Node.js, and Python actually handle: → Concurrency → Memory → CPU-bound tasks → Real-time features Data-driven breakdown here 👇 🔗 https://lnkd.in/e9h-aqiK #Coding #DevCommunity #TechDebate #EaseCloud

1. Open the Setup Wizard: Click the Setup Wizard button in the Ptah sidebar, or run the Ptah: Run Setup Wizard command from the Command Palette (Ctrl+Shift+P). 2. Let it scan your workspace: The wizard detects your project type, frameworks, dependencies, and existing configurations. It supports 13+ project types including React, Angular, Node.js, Python, and more. 3. Review and generate: Review the detected agents, adjust selections if needed, and generate your project-specific CLAUDE.md rules and agent configurations.

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "select_for_update()" lets you 𝗹𝗼𝗰𝗸 𝗿𝗼𝘄𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗱𝘂𝗿𝗶𝗻𝗴 𝗮 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻. This prevents other transactions from modifying the same rows until your transaction is complete. 🔧 𝗨𝘀𝗲 𝗶𝘁 𝗳𝗼𝗿: - Financial operations (e.g., updating balances) - Inventory systems - Any critical section where race conditions must be avoided 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁: It only works inside a database transaction ("atomic" block). Safer concurrency = fewer data integrity issues. #Django #Python #BackendDevelopment #WebDevelopment #DatabaseDesign #Concurrency #SoftwareEngineering #CodingTips #FullstackDeveloper