fiveonefour’s Post

Five steps to turning a profit if you know typescript Step 1: npx create-moose-app an-insightful-app Step 2: cd an-insightful-app Step 3: npx @514labs/moose-cli dev Step 4: Build something insightful Step 5: Profit...

🚀 Excited to complete backend part 1 with Hitesh Choudhary sir! Delving into standard methodologies for corporate backend development, mastering data modeling with Mongoose, and connecting backend to frontend seamlessly. Learning the ins and outs of setting up project files like a pro and crafting a YouTube-like backend structure with routes, utils, and models. Starting with user registration controllers, handling MongoDB user creation, and integrating Cloudinary for media upload services. Testing it all in Postman to ensure robust functionality. Ready to dive into part 2 soon! #BackendDevelopment #Mongoose #CloudinaryIntegration #ProfessionalDevelopment

Title: "Unleashing the Magic of Hot Chocolate GraphQL ☕🚀" Are you ready to explore the delightful world of Hot Chocolate GraphQL? If you're passionate about efficient data querying and modern API development, this one's for you! ☕🔍 🌟 **What is Hot Chocolate GraphQL?** Hot Chocolate GraphQL is a highly customizable and efficient GraphQL server framework for .NET. It empowers developers to create APIs with ease, offering a range of features that make working with GraphQL a breeze. 🚀 **Why Choose Hot Chocolate GraphQL?** 1. **Performance:** Hot Chocolate is known for its exceptional performance. It optimizes the execution of GraphQL queries, ensuring that you get the most out of your data fetching operations. 2. **Flexibility:** This framework provides extensive support for custom scalars, directives, and middleware. You can tailor your GraphQL schema to suit your project's specific needs. 3. **Real-time:** Hot Chocolate makes it straightforward to implement real-time functionality with subscriptions. Keep your clients updated in real-time with minimal effort. 4. **Developer-Friendly:** With strong typing and excellent tooling, Hot Chocolate enhances developer productivity. You'll catch errors at compile-time, not runtime. 5. **Community:** Being a part of the .NET ecosystem, Hot Chocolate GraphQL benefits from a thriving community of developers who actively contribute and share their knowledge. 🛠️ **Getting Started with Hot Chocolate GraphQL** Getting your hands on Hot Chocolate is as simple as a few NuGet package installations. Once set up, define your schema, resolvers, and types, and you're on your way to crafting efficient and powerful GraphQL APIs. 🌐 **Join the Conversation** Have you explored Hot Chocolate GraphQL? Share your experiences, tips, and use cases in the comments below. Let's build a community of GraphQL enthusiasts! 🚀🔗 #HotChocolateGraphQL #GraphQL #API #SoftwareDevelopment #DeveloperTools #Coding #TechInnovation #CommunityBuilding

Your Contribution for tonight ✨: Airbyte ⬇️ Co-founded by Michel Tricot and Jean (John) Lafleur, Airbyte is a data integration platform for ETL / ELT data pipelines. You can integrate from APIs, databases, data warehouses, data lakes and data lakehouses. Airbyte is available self-hosted and cloud-hosted. 🧪 Here’s why you should contribute to this repo: 1️⃣ Their tech leverages modern practices to help solve data engineering challenges, affecting hundreds of companies and data professionals. If you are a Python or Java developer and want to further contribute to a powerhouse repo (with over 13,000 stars!), this is your opportunity. 🦾 2️⃣ The repo "really" welcomes new contributors. Many projects have a contributing.md file but rarely accept new contributors. Airbyte brought on their repo 12 new contributors just this last month! If you are looking for a welcoming repo, Airbyte may be what you have been looking for. 😄 3️⃣ Nearly ~45% of contributors submit a second PR. This means the repo has a supportive environment for building upon past contributions. If you enjoy working on this repo, chances are you can continue to work on it! ⚡️ If you are interested in contributing to building the only tool devs need to move data, check more of Airbyte's stats on Quira (https://lnkd.in/eM7etquW) or access the GitHub page directly here: https://lnkd.in/e_4Gczrk

USING GRAPHQL IN RUST 📣 GraphQL is a querying language for APIs that makes data fetching easy. When you (or your frontend dev team) need only specific data, GraphQL makes it easy to fetch and subscribe to data using declarative data fetching. We’ve written an article that lets you follow along with us and create your own fully-working GraphQL server with Axum in Rust. Check it out here: https://lnkd.in/ddBCnqwM

One of the best guides I found about JSON with Go, it's great for new ones and also for experienced developers to remember some details. https://lnkd.in/dhhPbhvY #golang #godeveloper

🚀 Unlocking Code Excellence through Thoughtful JSON Data Structures 🌐 I recently embarked on a journey to enhance the efficiency of my code and stumbled upon a game-changer: rethinking my JSON data structure. 🛠️ The Aha Moment: In the quest for better code, we often overlook the foundational role of data structure. After dedicating time to craft a clean and intuitive JSON structure, the impact on my codebase was profound. 🌟 Code Nirvana: A well-designed JSON data structure does wonders for code organization. It transforms the codebase into a readable masterpiece, making navigation a breeze. The bonus? Debugging and maintenance become streamlined processes. 🚀 The Often Overlooked: It's easy to get caught up in optimizing algorithms or tweaking code snippets, but the real magic often lies in how we structure our data. A good JSON structure is like a solid foundation for a skyscraper—it holds everything together. 🏗️ My Experience: After investing significant time in revamping my data structure, the dividends paid off not only in cleaner code but also in reduced complexity headaches. It's a lesson worth sharing! 💡 Takeaway: Next time you find yourself immersed in code improvement endeavours, don't forget to glance at your data structure. It might be the missing piece to elevate your code to the next level. 🚀 #javascript #mongodb #webdeveloper #softwareengineering #earlybird

When using typescript for validation and better schema declaration, you can easily use "Zod" to eliminate extra type definitions. some useful places inside other libraries: react-hook-form : const schema = z.object({ name: z.string().min(3, { message: 'Required' }), phone: z.number().min(10), }); axios library : const DataSchema = const DataSchema = z.array( z.object({ id: z.number().nullable(), images: z .object({ jpg: z.object({ image_url: z.string().nullable(), }), }) .transform((images) => images.jpg.imageUrl), }) ) Finally, after taking the response from Axios parse it : type DataSchema = z.infer < typeof DataSchema > ; DataSchema.parse(response.data[0]); for more info https://lnkd.in/dh-HJEwq #Github#typescript#frontdeveloper#typescriptdeveloper #react #reactnative #reactnativedeveloper

Typical vs. Protobuf: Data serialization in TypeScript #typescript #webdevelopment

Continuing my brain dumps on the most common advice I give to growing software devs. Part 3 dives into the habit every developer eventually has to break: Stop using the console and learn to write SQL https://lnkd.in/gST_TET3