TypeScript Surpasses Python and JavaScript on GitHub

JavaScript is dominating… but no one talks about how hard it actually is. Yesterday I ran a poll asking developers which programming languages they use the most. The result was interesting. About 75% chose JavaScript and TypeScript, while Python and Rust had around 13% each. Not really surprising… but still worth thinking about. I personally use JavaScript and TypeScript a lot, and I also write Python. Each one has its own strengths, but JavaScript really stands out because of how broad it is. Frontend, backend, APIs, scripting… it’s everywhere. At the same time, JavaScript is not the easiest language to fully grasp. It can be unpredictable, and it definitely humbles you as you go deeper. But maybe that’s part of why it’s so powerful. Curious to hear from others, what language do you enjoy working with the most right now? #JavaScript #TypeScript #Python #Backend #WebDevelopment #Programming #DevCommunity #BuildInPublic

#PythonFullStackDeveloperRoadmap: Stage 1: HTML – Learn webpage basics. Stage 2: CSS – Style web pages. Stage 3: JavaScript – Add interactivity. Stage 4: Git + GitHub – Manage code versions. Stage 5: Frontend Project – Build a simple project. Stage 6: Python (Core + OOP) – Learn Python fundamentals. Stage 7: Backend Project – Use Flask/Django for backend. Stage 8: Frameworks – Master Flask/Django features.

People be like pick one language 🤔 Nah not really Try a few and see what actually click with you Every language got its own vibe and way of thinking JavaScript move fast and run the web 🌐 Python feel clean and simple like it just wanna help you get things done 🐍 C++ be powerful but it demand patience and respect When you explore different languages you start noticing something interesting The syntax different the tools different but the real skill the same It’s how you think through problems and turn ideas into working code So yeah try a few See which one make sense in your head See which one make you curious enough to keep building 💻

Over the last few weeks, I’ve been exploring Python backend development, especially Django and FastAPI. Today I learned some key differences between them. Django vs FastAPI 🔹 Django A full-stack web framework Comes with built-in features like ORM, authentication, admin panel Best for large applications and rapid development Uses synchronous programming (WSGI) by default Slightly heavier but very structured 🔹 FastAPI A modern, high-performance API framework Designed mainly for building APIs Uses asynchronous programming (ASGI) Automatic interactive API docs (Swagger & ReDoc) Very fast and lightweight 💡 My takeaway: Django is great when you want a complete web framework, while FastAPI is perfect when you need high-performance APIs or microservices. #Python #Django #FastAPI #BackendDevelopment #WebDevelopment #LearningInPublic

NestJS (Express.js) vs FastAPI: Which Backend Framework Should You Choose? Choosing the right backend framework can shape how fast and maintainable your application becomes. NestJS, built on Express.js and TypeScript, is ideal for large, modular, enterprise-ready applications with built-in dependency injection, GraphQL, and WebSocket support. FastAPI, built in Python, focuses on speed and simplicity with native async support, automatic validation, and interactive API docs. If you want a structured TypeScript backend, go for NestJS; if you want rapid Python APIs, FastAPI is your friend. Both are modern, efficient, and developer-friendly — the right choice depends on your project needs.

Here's a digest of "GitHub - Distributive-Network/PythonMonkey: A Mozilla SpiderMonkey JavaScript engine embedded into the Python VM, using the Python engine to provide the JS host environment." for your feed 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.

Understanding the structure of the Django Framework 🐍 From manage.py to settings.py, URLs to Views, Models to Templates — Django follows a powerful MVT (Model-View-Template) architecture that makes web development structured and scalable. Learning Django step by step to build secure and efficient web applications. 🚀 #Python #Django #WebDevelopment #FullStackDeveloper