September 2021
Intermediate to advanced
504 pages
12h 50m
English
Content preview from Functional Programming in Kotlin
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15 Stream processing and incremental I/O
This chapter covers
- Shortcomings of imperative IO
- Transformation using stream transducers
- Building an extensible
Processtype - Single input and output processing with
SourceandSink - Combining multiple input streams using
Tee
We said in the introduction to part 4 that functional programming is a complete paradigm. Every imaginable program can be expressed functionally, including programs that interact with the external world. But it would be disappointing if the IO type were the only way to construct such programs. IO and ST work by simply embedding an imperative programming language into the purely functional subset of features that we have explored up to now. While programming within the IO monad, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.