The for…of loop provides a clean, readable way to iterate over iterable objects like arrays, strings, Maps, and Sets in JavaScript. As the creator of CoreUI with over 25 years of JavaScript development experience, I’ve used for…of loops extensively for data processing, UI rendering, and collection manipulation. From my expertise, the most effective approach is using for…of when you need to iterate over values rather than indices, providing cleaner syntax than traditional for loops. This ES6 feature simplifies iteration code while working seamlessly with modern JavaScript features like destructuring and async/await.

Creating generator functions in JavaScript enables lazy evaluation and controlled iteration, providing memory-efficient solutions for large datasets and complex iteration patterns. With over 25 years of experience in software development and as the creator of CoreUI, I’ve used generators extensively for data streaming, pagination handling, and asynchronous control flow. From my expertise, the most powerful approach is using the function* syntax with yield statements to create functions that can pause and resume execution. This pattern provides elegant solutions for scenarios requiring on-demand value generation and stateful iteration.

Working with key-value pairs from JavaScript objects is essential for data transformation and dynamic processing. As the creator of CoreUI with over 25 years of JavaScript experience, I regularly use this technique for component configuration and data mapping. The most effective method is Object.entries(), which returns an array of key-value pairs as nested arrays.

Extracting object keys is fundamental for iterating over object properties, building dynamic forms, and processing API responses in JavaScript applications. As the creator of CoreUI, a widely used open-source UI library, I’ve used object key extraction in thousands of data processing scenarios over 25 years of development. From my expertise, the most straightforward approach is using the Object.keys() method, which returns an array of enumerable property names. This provides a clean, iterable list of keys for further processing.

Rendering dynamic lists and iterating over data is fundamental for creating responsive Vue applications with data tables, navigation menus, and content lists. As the creator of CoreUI, a widely used open-source UI library, I’ve implemented v-for in countless Vue components for rendering data grids, dropdown options, and dashboard widgets in enterprise applications. From my expertise, the most efficient approach is to use the v-for directive with proper key attributes. This method ensures optimal performance through Vue’s virtual DOM diffing algorithm and prevents rendering issues during list updates.

Rendering dynamic lists is fundamental in Angular applications, especially for dashboards, data tables, and any component displaying arrays of data. As the creator of CoreUI, a widely used open-source UI library, I’ve implemented ngFor in countless Angular components including data tables, navigation menus, and dashboard widgets. From my expertise, the most efficient approach is to use the *ngFor structural directive with proper TypeScript typing. This method provides clean template syntax and excellent performance when combined with trackBy functions.

Calculating factorials is important for mathematical computations, combinatorics, probability calculations, and implementing features like permutation generators or statistical analysis in JavaScript applications. With over 25 years of experience in software development and as the creator of CoreUI, I’ve implemented factorial calculations in components like mathematical utilities, educational tools, and data analysis features where precise mathematical operations are essential for accurate results. From my extensive expertise, the most straightforward approach for small numbers is using recursion, while iteration provides better performance and avoids stack overflow for larger numbers. Both methods have their place depending on the use case and performance requirements.