Package collection seeks to provide an expressive and readable way of working with basic data structures in Go. As a former .NET developer, I deeply missed writing programs in the style of Linq. Doing so enables concurrent/ parallel reactive programs to be written in a snap. Go's functional nature enables us to have a very similar, if more verbose, experience. Take for example the scenario of printing the number of Go source files in a directory. Using this package, this takes only a few lines: A directory is a collection of filesystem entries, so we're able to iterate through them using the "Enumerate" function. From there, we filter on only file names that end with ".go". Finally, we print the number of entries that were encountered. This is a trivial example, but imagine building more elaborate pipelines. Maybe take advantage of the `SelectParallel` function which allows multiple goroutines to process a single transform at once, with their results being funnelled into the next phase of the pipeline. Suddenly, injecting new steps can be transparent.
Package rx is a reactive programming library for Go, inspired by https://reactivex.io/ (mostly RxJS).
Package collection seeks to provide an expressive and readable way of working with basic data structures in Go. As a former .NET developer, I deeply missed writing programs in the style of Linq. Doing so enables concurrent/ parallel reactive programs to be written in a snap. Go's functional nature enables us to have a very similar, if more verbose, experience. Take for example the scenario of printing the number of Go source files in a directory. Using this package, this takes only a few lines: A directory is a collection of filesystem entries, so we're able to iterate through them using the "Enumerate" function. From there, we filter on only file names that end with ".go". Finally, we print the number of entries that were encountered. This is a trivial example, but imagine building more elaborate pipelines. Maybe take advantage of the `SelectParallel` function which allows multiple goroutines to process a single transform at once, with their results being funnelled into the next phase of the pipeline. Suddenly, injecting new steps can be transparent.
Package rx provides Reactive Extensions for Go, an API for asynchronous programming with observable streams.