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I remembered while having worked with Clojure for a while how nice it was that collection transformations could be done on any type of collection. One of the library's aims is to make transformations work for all collection types as well as implement some functional programming paradigms to make function composing easier.\n\nThis library is a playground for me at the same time. It's fun to experiment with basic datastructures and transformations. And also a good place to play with ES6 features also.\n\n## State\n\nCreation of proper benchmarking is in progress.\n\n**Sample,** sum 10 000 numbers:\n\nlimbda#reduce | Sum numbers 0.00011549035685890135\n\nlodash#reduce | Sum numbers 0.00012098247137972124\n\nArray#reduce  | Sum numbers 0.00006934145322898773\n\nBreaking changes might happen. Best thing to do if you'd like to sniff around is to check the tests to get a picture how the library methods work. (Tests keep the contract for the functions' interface, check them for change between commits before you upgrade to a new version.)\n\n## Install\n\n`npm install limbda`\n\n## Usage\n\nImport as you would any other packege in Node.js, eg.:\n\n`const limbda = require('limbda');`\n\n## Documentation\n\n### isIterable\n\nCheck if `x` implements the iterable interface/protocol. (ES6 rest/spread operations, also generators need iterables.)\n\n```js\nisIterable(x: Any?) -\u003e Boolean\n```\n\n### reduce, map, filter\n\nReduce, map \u0026 filter work for all basic Javascript collection types: String, Array, Object, Map, Set \u0026 Arguments (Array-likes).\n\n#### Transforming functions\n\nWhen reducing, mapping or filtering an String, Array or Set, item will be a value. In case of key-value types, item will be an \"Object Entry\", a.k.a. an Array of 2 items, a pair, `[key, value]`. See signatures.\n\nThe transforming functions should return a value so that collection transformation will have a \"worthwhile\" final value in the end.\n\n### reduce\n\n```javascript\nreduce(reducer: Function, collection: AnyColl?, initialValue: Any?) -\u003e Any?\nreducerFunction(accumulator: Any?, item: Any?) -\u003e Any?\n```\n\n```javascript\n# String, Array \u0026 Set reducer signature:\nconst reducerA = (accumulator, value) =\u003e accumulator + value;\n# Object, Map reducer signature:\nconst reducerB = (accumulator, [key, value]) =\u003e accumulator + (key + value);\n```\n\n### map\n\n```javascript\nmap(transformer: Function, collection: AnyColl?) -\u003e Array\ntransformerFunction(value: Any?) -\u003e Any?\n```\n\n```javascript\n# String, Array \u0026 Set transformer signature:\nconst transformerA = value =\u003e f(value);\n# Object, Map transformer signature:\nconst transformerB = ([key, value]) =\u003e f(key, value);\n```\n\n### filter\n\n```javascript\nfilter(filtering: Function, collection: AnyColl?) -\u003e Array\nfilteringFunction(value: Any?) -\u003e Bool?\n```\n\n```javascript\n# String, Array \u0026 Set filtering signature:\nconst filteringFnA = value =\u003e f(value);\n# Object, Map filtering signature:\nconst filteringFnB = ([key, value]) =\u003e f(key, value);\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinkaszab%2Flimbda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsinkaszab%2Flimbda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsinkaszab%2Flimbda/lists"}