Data Analytics
## 🔹 Practical Example: Interactive Todo List // DOM Elements const form = document.querySelector('#todo-form'); const input = document.querySelector('#todo-input'); const list = document.querySelector('#todo-list'); // Add new todo form.addEventListener('submit'…
function oldFetch(url, callback) {
const xhr = new XMLHttpRequest();
xhr.open('GET', url);
xhr.onload = () => {
if (xhr.status === 200) {
callback(JSON.parse(xhr.response));
} else {
callback(null, xhr.status);
}
};
xhr.send();
}---
## 🔹 Best Practices
1. Always handle errors in promises/async functions
2. Use async/await for better readability
3. Cancel requests when no longer needed (AbortController)
4. Throttle rapid API calls (debounce input handlers)
5. Cache responses when appropriate
---
### 📌 What's Next?
In Part 6, we'll cover:
➡️ JavaScript Modules
➡️ ES6+ Features
➡️ Tooling (Babel, Webpack, npm)
#JavaScript #AsyncProgramming #WebDevelopment 🚀
Practice Exercise:
1. Fetch GitHub user data (https://api.github.com/users/username)
2. Create a function that fetches multiple Pokémon in parallel
3. Build a retry mechanism for failed requests (max 3 attempts)