https://github.com/imrandil/generator_javascript

practiced generator in javascript, tested it with excel and csv file
https://github.com/imrandil/generator_javascript

generator javascript learning-by-doing

Last synced: 17 days ago
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practiced generator in javascript, tested it with excel and csv file

• Host: GitHub
• URL: https://github.com/imrandil/generator_javascript
• Owner: IMRANDIL
• Created: 2024-03-23T03:28:43.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-03-23T13:38:57.000Z (10 months ago)
• Last Synced: 2024-11-08T08:51:09.489Z (2 months ago)
• Topics: generator, javascript, learning-by-doing
• Language: JavaScript
• Homepage:
• Size: 84 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
### Features of Generators in JavaScript

- **Lazy Evaluation**: Generators allow for lazy evaluation, meaning they produce values on-demand instead of generating all values upfront. This can be memory-efficient, particularly when dealing with large datasets or infinite sequences.

- **Pause and Resume Execution**: Generator functions can pause their execution using the `yield` keyword and later resume it from the same point. This enables iterative processes to be easily managed and controlled.

- **Iterable Protocol**: Generator functions automatically implement the iterable protocol in JavaScript, allowing them to be used with constructs like `for...of` loops and spread syntax (`...`).

- **State Maintenance**: Generators maintain their internal state between invocations, making them suitable for tasks that require maintaining context across multiple calls.

- **Error Handling**: Generators provide built-in error handling mechanisms through `try...catch` blocks within the generator function body.

- **Asynchronous Operations**: Generator functions can be used with asynchronous operations, such as fetching data from APIs or reading files, by utilizing `async` and `await` keywords.

- **Composition**: Generators can be composed together using delegation (yielding values from one generator to another), enabling modular and reusable code structures.

- **Infinite Sequences**: Generators can represent infinite sequences, allowing for the creation of generators that produce an endless stream of values.

- **Coroutines**: Generators can be used to implement coroutines, which are routines that can pause and resume execution at specific points, facilitating cooperative multitasking and asynchronous programming.

- **Memory Efficiency**: Due to their lazy evaluation nature, generators can be more memory-efficient compared to eagerly evaluated data structures, especially when dealing with large datasets or computations.