Accessing deeply nested properties often results in TypeError if the property doesn’t exist. Optional chaining (?.) offers a clean way to safely access these properties without writing verbose checks.
Example:
const user = { profile: { name: 'Alice' } }; console.log(user.profile?.name); // Alice console.log(user.profile?.age); // undefined (No error)
Optional chaining prevents crashes caused by undefined or null values and keeps your code cleaner by eliminating repetitive if statements.
Dynamic imports allow you to load JavaScript modules only when they’re needed, reducing the initial bundle size and improving application performance.
Example:
async function loadChart() { const { Chart } = await import('chart.js'); const myChart = new Chart(canvas, { type: 'bar', data: {...} }); }
Dynamic imports enable code splitting, ensuring that only the necessary JavaScript is loaded for a specific functionality, resulting in faster load times and better user experience.
Destructuring with default values allows you to extract properties from objects or arrays concisely while providing fallback values to avoid undefined.
Example:
const settings = { theme: 'dark' }; const { theme = 'light', language = 'en' } = settings; console.log(theme); // dark console.log(language); // en (default)
This approach reduces boilerplate code and prevents unexpected undefined values, making your logic more robust and readable.
Handling events like scroll or resize can be expensive if triggered too frequently. Use debouncing to delay execution or throttling to limit the frequency of function calls.
Debouncing Example:
function debounce(func, delay) { let timeout; return (...args) => { clearTimeout(timeout); timeout = setTimeout(() => func(...args), delay); }; } window.addEventListener('resize', debounce(() => console.log('Resized!'), 300));
Throttling Example:
function throttle(func, limit) { let lastCall = 0; return (...args) => { const now = Date.now(); if (now - lastCall >= limit) { lastCall = now; func(...args); } }; } window.addEventListener('scroll', throttle(() => console.log('Scrolled!'), 200));
Both techniques optimize browser performance by reducing the number of times event handlers are triggered, making your applications smoother and more responsive.
Avoid redundant calculations by caching the results of function calls using memoization.
Example:
function memoize(fn) { const cache = new Map(); return (...args) => { const key = JSON.stringify(args); if (cache.has(key)) return cache.get(key); const result = fn(...args); cache.set(key, result); return result; }; } const factorial = memoize(n => (n <= 1 ? 1 : n * factorial(n - 1))); console.log(factorial(5)); // 120 console.log(factorial(5)); // Retrieved from cache
Memoization reduces the computational load by reusing previously calculated results, significantly improving performance in recursive functions or heavy calculations.
By incorporating these unique JavaScript best practices into your workflow, you can write cleaner, faster, and more efficient code. Whether it's using optional chaining for safer property access or leveraging dynamic imports for performance, these techniques will set you apart as a modern developer.
Which of these practices will you try first? Share your thoughts in the comments!
The above is the detailed content of Best Practices in JavaScript: Writing Clean, Efficient, and Maintainable Code. For more information, please follow other related articles on the PHP Chinese website!