React FastAPI Pipeline Editor with DAG Validation

𝗧𝗵𝗶𝘀 𝗽𝗮𝘀𝘁 𝘄𝗲𝗲𝗸𝗲𝗻𝗱 𝗜 𝗯𝘂𝗶𝗹𝘁 𝗮 𝗻𝗲𝘄 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲: 𝗗𝗷𝘂𝗹𝗲. Djule is a new templating engine for Django. At first glance it looks like Python and HTML had a baby, but under the hood it’s actually a new language with its own lexer, tokens, compiler, and runtime. The goal is to make HTML more modular and expressive while keeping everything developers love about Django’s server-rendered architecture. Djule sits directly on top of Django and explores a different direction for building UI: Python-driven components, composable HTML, and a simpler developer experience without forcing heavy frontend frameworks. 𝗩𝟭 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸. Still early, but excited about where this could go. #Django #Python #WebDevelopment #DeveloperTools #OpenSource

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 didn’t struggle with this… and here’s why. Today’s focus was on core JavaScript concepts that power React: • Object & Array Destructuring • Template Literals • Classes One thing I noticed my background in Python really helped here. Having worked with classes and inheritance in Python, understanding them in React felt more intuitive. Different syntax, same underlying concepts. It’s a reminder that learning one language deeply makes picking up others much easier. Still early in the journey, but everything is starting to connect. 90 days. No shortcuts. Just mastery. #ReactJS #ReactNative #JavaScript #BuildInPublic #DeveloperJourney #NaijaTech #100DaysOfCode

❌ Slow apps ❌ Poor UI ❌ Backend that breaks at scale Most problems start with poor architecture. We fix that using Python + React, built right from day one. Let’s build smarter. #TechPartner #SoftwareDevelopment

I compared the same logic in JS and Rust. The result? The "complex" Rust version wasn't just drastically faster — it was actually shorter and cleaner. If you’ve worked with JavaScript, Python, or Java, you’ve likely encountered the classic problem of counting how many times each character appears in a string. In JavaScript, the typical approach looks like this: if (map.has(ch)) { map.set(ch, map.get(ch) + 1); } else { map.set(ch, 1); } While this seems straightforward, there’s a hidden performance flaw: The Double Lookup & Value Copying. This one-liner requires extra work from the engine: 1️⃣ map.get(ch): Calculates the hash, traverses memory, finds the bucket, and extracts a copy of the number. 2️⃣ + 1: Creates a brand-new number primitive in memory. 3️⃣ map.set(ch, ...): Calculates the hash again, traverses memory again, finds the same bucket, and copies the new number back into it. Now, let's see how Rust handles the same logic: *counts.entry(ch).or_insert(0) += 1; This isn't just syntactic sugar; it utilizes Rust's Entry API, designed for maximum hardware efficiency. Here’s why it’s blazingly fast: - It calculates the hash exactly once. - It locates the memory bucket exactly once. - It returns a &mut (a direct mutable pointer/reference) right to that memory slot. The += operator modifies the primitive value in-place without copying it out or needing a .set() method to put it back. This results in code that reads like a high-level script but executes with the speed of a systems language. Zero-cost abstractions at their finest! #Rust #JavaScript #Programming #Performance #SoftwareEngineering #WebDev #RustLang

Excited to share a web based project — PocketLab 🧪 A Django-based web application designed to help users log, manage, and review scientific experiments efficiently. Key Features: • Full CRUD functionality • Responsive modern UI • Experiment detail tracking • Form validation and progress indicators • Clean and organized dashboard layout Built With: Python | Django | HTML | CSS | JavaScript This project helped me strengthen my understanding of Django CRUD operations, template inheritance, static files management, and frontend UI design. #Django #Python #WebDevelopment #SoftwareDevelopment #PortfolioProject #FullStackDevelopment #Programming

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

Got back into building after a short break. Something interesting I’ve been noticing while working across frontend and backend: On the frontend, you notice when something feels off.   On the backend, you understand why it happens. Even small things like data shape or response timing can completely change how an interface behaves. Exploring backend with Python has made me pay more attention to these details. It’s less about adding more tech,   and more about understanding how everything connects. #SoftwareEngineering #FrontendDeveloper #BackendDevelopment #WebDevelopment

🚀 Built a QR Code Generator using Flask! 🧪 I recently created a simple yet useful QR Code Generator Web App where users can instantly generate QR codes from text or URLs. 💡 This project helped me understand: • Backend development with Flask 🧪 • Connecting frontend with Python • Handling user input & generating dynamic output ⚙️ 🔗 GitHub: https://lnkd.in/dN8JBRTn Always learning, always building. 💻 Would love your feedback! 🙌 #Python #Flask #WebDevelopment #Projects #Coding #Learning