Mastering Functional Reactive Programming with RxJS and React

JavaScript generators are like magical pause buttons for functions. They allow for smoother asynchronous programming without getting stuck in callback chaos! With their superpower of lazy evaluation, generators only do their thing when absolutely necessary – saving time and boosting performance. Plus, they're your ultimate data structure sidekicks, making iteration a breeze. Imagine having a genie in a bottle, but instead, it's a generator function that can create endless sequences, craft custom iterators, and wave its wand on complex async tasks. Remember, though, genies can be tricky – always catch those errors and watch out for data overload. Mastering JavaScript generators is like unlocking a secret code to elegant, efficient, and mind-blowing coding adventures. Embrace the power of generators, and watch your programming world transform! 🚀 #JavaScript #Generators #AsynchronousProgramming #CodingMagic

Learn how to build interactive applications using modern JavaScript while gaining hands-on experience through practical projects. Develop coding best practices and understand professional development workflows used in today’s tech-driven workplaces. To find out more, visit https://lnkd.in/ek7ufF7m NUS Computing #programming #coding #javascript

Rust Essentials A Practical and Clear Foundation for Every Programmer ------------------------------------ Rust represents a deliberate evolution in systems programming: high performance without sacrificing safety. It removes the traditional trade-off between control and reliability by enforcing correctness at compile time through ownership, borrowing, and lifetimeswithout relying on a garbage collector. Rust Essentials A Practical and Clear Foundation for Every Programmer was written to provide a focused and structured path into the language. The goal is not to cover every advanced topic, but to build a strong mental model that allows you to grow confidently beyond the basics. Although I am relatively new to Rust and come from a long background in C++, I found the language surprisingly approachable, powerful, and rich in modern design principles. During this period, I have published several booklets about Rust, and I consistently feel the need to write about it extensively to make it easier and more accessible to everyone. I strongly recommend that every C++ programmer add Rust to their technical toolbox and use it when safety, correctness, and memory guarantees are critical requirements. In this booklet, we concentrate on: • Understanding ownership and borrowing clearly. • Writing idiomatic Rust using enums, pattern matching, and iterators. • Handling errors with precision and clarity. • Organizing clean and scalable Rust projects. • Building a complete mini-project that integrates the core concepts. Rust may feel strict at first, but its strictness is guidance. Each compiler message enforces a safety rule that ultimately protects your program. Once the core principles are understood, Rust becomes consistent, predictable, and deeply logical. This book assumes prior programming experience and is designed for developers from any background who want a clear and practical foundation in Rust. Study the examples, experiment with the code, and build small tools of your own. Mastery in Rust comes from practice and from thinking carefully about ownership and correctness.

Let’s talk about something that makes TypeScript feel almost like a programming language at the type level - 'Recursion in Mapped Types.' Imagine you have a deeply nested object type. Some properties are objects. Some are objects inside objects. Some are arrays of objects. Now your task is simple in words - 'Make everything optional. Even nested properties.' At first, this feels easy. We already know about 'Partial<T>' utility type. But 'Partial' only works at the first level. It does not go deep. Nested properties remain required. So how do we make everything optional at every level? This is where recursion comes in. In normal programming, recursion means a function calls itself. In TypeScript types, recursion means a type references itself inside its own definition. That’s it. So, how do we solve the problem with a deeply nested object? We can define a type that iterates over each property of an object, makes it optional, and if the property itself is an object, apply the same logic again. This 'apply the same logic again' part is recursion. But how does this even work? Here’s something fascinating about TypeScript. When a mapped type is applied to a primitive type like string or number, TypeScript simply returns that primitive type. It does not try to iterate over it. This behavior is intentional and baked into the type system. That’s why recursive mapped types don’t break when they eventually reach primitive properties. For example, when recursion hits 'string', it just stops naturally. That’s elegant. Recursion in mapped types is where TypeScript stops being static typing, and starts feeling like a type transformation engine. #Programming #TypeScript #JavaScript #WebDevelopment #Coding

Been reading Rust Web Programming (3rd Edition) by maxwell flitton. A very practical, end‑to‑end look at building web services with Rust — from APIs to async to deployment. Worth a look if you’re exploring Rust beyond systems work. https://lnkd.in/gi9hXdWW

Asynchronous programming sounds scary at first—but once it clicks, it completely changes how you think about software. I used to write code that waited. Wait for the API. Wait for the database. Wait for the file to load. And while my program was waiting… everything else was frozen. That’s when asynchronous programming started to make sense. Instead of blocking the whole application, async code says: “Start this task, and while it’s running, go do something useful.” This is why modern apps feel fast and responsive. Your UI doesn’t freeze. Your server handles thousands of users at the same time. Your app feels alive, not stuck. Whether it’s async/await in Dart, JavaScript, Python, or C#, the idea is the same: Do work in the background Don’t waste time waiting Handle results when they’re ready Asynchronous programming isn’t about writing more complex code. It’s about writing smarter code that respects time, performance, and user experience. Once you truly understand async, there’s no going back. #Programming #AsynchronousProgramming #AsyncAwait #SoftwareDevelopment #CleanCode #LearningJourney

Boost Your VS Code Productivity! I put together a modern guide for the ultimate VS Code setup, covering: 🔹 Must-know shortcuts to speed up coding 🔹 Essential extensions for JavaScript, React, Python, and web development 🔹 Git & version control tools to streamline collaboration 🔹 AI-powered code assistance for smarter coding 🔹 Recommended settings for a smoother workflow Whether you’re a beginner or a seasoned developer, these tips can help you write cleaner code, debug faster, and work more efficiently. #VSCode #WebDevelopment #ReactJS #Python #CodingTips #Productivity #AIinDev #FullStackDevelopment

What is Reactive programming?. Reactive programming is basically like Excel. You write a formula like A = B + C. Whenever B or C changes, A updates automatically. You don't need to manually recalculate. In normal programming, if you write `a = b + c`, that's it. A gets assigned once. If b or c changes later, a stays the same. In reactive programming, a automatically updates whenever b or c changes. Think of it like this: you're watching a live cricket score. Every time the score updates, your phone automatically shows the new number. You don't refresh the page. That's reactive. The reason this matters now is because modern apps are full of real-time events. Instagram likes updating live, notifications popping up, live chat messages. We need our apps to react to data changes automatically without freezing. In reactive programming, everything is a stream. Button clicks are a stream. API responses are a stream. Even errors are streams. Your code observes these streams and reacts when something happens. Honestly, if you're building anything with a UI that needs to feel smooth and responsive, reactive programming makes life easier. Libraries like RxJS handle all the complex async stuff so you can focus on what happens when data changes. It's not a new concept. Been around since 1969 when they invented spreadsheets. We just gave it a fancy name. #anchors

Another reflection on programming and programming languages. In my experience, polyglot approaches (where one utilizes two or more languages) are most successful when the languages are vastly different from each other. At least for me, I find don't really end up forgetting syntax or bleeding ideas between the two because both languages are a bit skewed towards two contrasting styles of programming. With C# - I am home in OOP land. My problem-solving approach is structured and drifts towards wanting to first model the business problem and communicate the higher-level design first before implementation. With Go - The inherent design works best for functional programming; something I had to learn and to be honest, I'm still getting the grasp of. I often find myself wanting to think about the details first, building out the atomic components before then composing everything into a final design. One approach prompts the Why. The other grills your into clarifying the How. What I'm excited to explore next in my programming journey is what types of problems I can effectively solve using these approaches and if there's opportunities for cross-sharing ideas between these two languages. Do you also engage in polyglot programming? In what ways does my experience match or differ from yours? Excited to hear your comments below.

I’ve started a JavaScript from Scratch series on YouTube. This first video explains what JavaScript is, how it works in the browser, and why it’s considered both a programming and scripting language. The goal is to make coding simple and beginner-friendly, without skipping fundamentals. If you’re learning web development or just getting started with coding, this might be helpful. 🎥 Watch here: Link in comments #javascript #webdevelopment #programming #coding #softwaredevelopment #tech #techeducation