cats
fp-ts
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cats | fp-ts | |
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43 | 97 | |
5,177 | 10,474 | |
0.9% | - | |
8.8 | 7.0 | |
1 day ago | about 1 month ago | |
Scala | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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cats
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Beware of teammates who refactor code based on personal taste without proper documentation or completeness. Sounds familiar.
A functional programming library: https://typelevel.org/cats/
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Is Scala worth learning in 2023?
Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.
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Going into year 2 of Software Development Foundation Degree, have a particular liking for OOP and SQL, any tips, info or pointers on where to go from there?
I'm sorry, but have you ever done functional programming for a real company, like in a functional programming language like Haskell, Scala, or F#? Have you ever used Scala cats or scalaz? Have you ever learned category theory and how to apply its abstractions in software? Listen u/judethedude2106 this person hasn't gone as far down the functional programming rabbit hole as I have. Beyond learning the basics like the difference between pure and impure functions, what are closures, what higher order functions are and the most common ones like .map, .filter, and .flatmap, the immutable collections like immutable linked lists and trees, and what a Monad is and common monads like those used for futures/promises, async programming, and Option (Some or None, which is used instead of null checking), the more advanced functional programming stuff like category theory based abstractions are totally useless for real jobs and is just a giant time suck. Don't waste years on functional programming, spend at most a few months on it and no more.
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rsmonad: Monads in stable Rust (+ Applicative, Alternative, Functor, Monoid, ...)
As a former functional programmer in Scala, please do not go deep into the Category Theory programming. Scala has libraries like this one called "Cats", a cute shortened name for "Category Theory", but code that makes heavy use of these constructs is not understandable to other programmers. Other than using Monads as a design pattern for things like Options (which can be "Some" or "None"), Futures or Promises (which is used for asynchronous programming), and a few other things, please do not make heavy use of category theory constructs in real programming projects that will have other developers working on them. It is a rabbit hole that may be fun but is not super practical. Sure, write pure functions without side effects, but do not use the words "Bimonad", "Invariant Monoidal", and "Semigroup" in your code. The most common, practical application/use of functional programming is basic things like closures, .map, .filter, maybe chaining maps with like a .flatmap or whatever your programming language uses instead of chain or flatmap, and SQL that uses keywords like WHERE which can be represented in code by using a call to .filter. Like the place where these constructs are used most is in data processing like with SQL, ETL (Extract Transform, Load) jobs, Java's MapReduce on Hadoop, Scala's Apache Spark, and other data processing type things. Haskell is not a popular programming language in real world projects for a number of reasons and one of them is the heavy and sometimes impractical use of Category Theory.
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Tmux, NeoVim, etc. to write pure Kotlin code?
At a previous job of mine we actually had an entirely pure Scala ecosystem using cats which instead uses typeclasses, referential transparency, and other FP concepts as the foundations for how to code. So a lot of flexibility to the language.
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[E => *] Type
Thanks! It's used heavily here
- for comprehension and some questions
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Ask HN: How has functional programming influenced your thinking?
I did work in Scala for a few years. We employed Cats[1], and even a bit of Matryoshka[2] though most of the work I do today is in Python.
Nowadays I think about computational requirements in terms of relations among behavioral dependencies. Like, "I want to perform operation O on input A and return a B. To do this, I'll need a way to a -> b and a way to b -> b -> b." I often pass these behavioral dependencies in as arguments and it tends to make the inner core of my programs pretty abstract and built up as layers of specificity.
Zooming out nearly all the way, it makes me feel tethered in a qualitatively unique way to certain deep truths of the universe. In a Platonic sense, invoking certain ideas like a monad make me feel like I'm approaching the divine or at least one instantiation of a timeless universal that operates outside of material existence.
I'd imagine some mathematicians might see the universe in a similar way - one where immortal relations between ontological forms exist beyond time and space and at the same time can be threaded through the material world by intellectual observation and when those two meet a beautiful collision occurs.
1. https://typelevel.org/cats/
2. https://github.com/precog/matryoshka
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yet another post about type classes in Scala
Our second type class example attempted to illustrate one last perk: type safety at compile time. It did so with a simplified example of the cats core library for type safety equality comparison between objects. If you're not familiar with cats, go ahead and give it go.
- What are the design principles of Cargo?
fp-ts
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From a Lorry Driver to Ruby on Rails Developer at 38
I think it’s great that functional programming is making its way into traditional imperative languages - even JavaScript (I recently came across https://gcanti.github.io/fp-ts/ as a pretty extreme example)
Elixir/Erlang has function-level pattern matching, which I really like. I’ve yet to see it anywhere else, though my understanding is it came from Prolog.
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Type-Safe Printf() in TypeScript
While I certainly agree, I've found that this is often an indication of too-complex an architecture, and a fundamental re-think being necessary. I've had projects that depend on [fp-ts], which end up incredibly generic-heavy, but still make it entirely through a typecheck(not build- typescript's just worse at that than other tools like esbuild) in seconds-at-worse.
Obviously depends on your organization/project/application, but I do like these things as complexity-smells.
[fp-ts]: https://gcanti.github.io/fp-ts/
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Introducing fp-utils a functional utility library for Deno / Node
Unlike more comprehensive functional libraries like fp-ts, each module can be imported and resolved separately. If you just need options, simply add the option module and you're good to go.
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Blog post: graphs and monads with Typescript
While it's quite abstract, I believe it may be useful to those of you who is interested to learn more about functional programming [in Typescript] and also get more intuition on diverse programming ideas. I use fp-ts as a functional programming library there.
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Functional Programming Library for Golang by IBM
The library for TypeScript that this is influenced by is here:
https://github.com/gcanti/fp-ts
Interesting how both languages with this library converge to a similar syntax, due to heavy use of functions.
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Is Scala worth learning in 2023?
Learn something that pays the bill first - nowadays it's Golang/Rust react/typescript. Then you can try some pure fp libs like fp-ts and fp-core.rs, and look through existing scala cats docs. If you'll feel bad about it - that's totally fine and expectable, fp takes a paradigm shift and not that many dev able to shift their brains way of thought due to basic psychological rigidity) (inability to change habits and to modify concepts/attitudes once developed). And that's purely a staffing and management issue - folks hired randoms out of the blue, and called 'em a team.
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Application Bootstrapping with fp-ts
fp-ts, a library that caters to functional programming in TypeScript, comes with some micro-abstractions that already solve a few of our needs.
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What are some strategies for ensuring correctness and fewer errors in dynamically typed languages?
Also, don't underestimate how powerful TypeScript can be in capable hands (namely Giulio Canti's). Check out fp-ts, for instance.
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Use Pure Functions to understand functional programming
You are able to type it using function overloads, an example can be found here - link, line 236.
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Error Handling Patterns
looks like more ergonomic/focused version of fp-ts[1]
[1] https://gcanti.github.io/fp-ts/
What are some alternatives?
Scalaz - Principled Functional Programming in Scala
effect - A fully-fledged functional effect system for TypeScript with a rich standard library
Shapeless - Generic programming for Scala
ramda - :ram: Practical functional Javascript
ZIO - ZIO — A type-safe, composable library for async and concurrent programming in Scala
proposal-pattern-matching - Pattern matching syntax for ECMAScript
ScalaTest - A testing tool for Scala and Java developers
purescript - A strongly-typed language that compiles to JavaScript
Monocle - Optics library for Scala
io-ts - Runtime type system for IO decoding/encoding
Scala Async - An asynchronous programming facility for Scala
TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.