cats
Monocle
cats | Monocle | |
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43 | 5 | |
5,245 | 1,654 | |
0.3% | 0.2% | |
8.9 | 8.1 | |
6 days ago | 13 days ago | |
Scala | Scala | |
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?
Monocle
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Ref in cats-effect. When should I use it, and when should I not?
Without concurrency, using a Ref doesn't buy you anything over just using a var. If you want the benefits of immutability with an API that resembles mutability, you have to use something like Monocle.
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Show HN: Monocle – bidirectional code generation library
A very popular Scala optics library is also called Monocle. I’ve been a happy user for a few years:
https://github.com/optics-dev/Monocle
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Monocle 3 release candidate - a super useful and simple library for optics with poetic api
See example https://www.optics.dev/Monocle/
- Monocle 3.0.0-M1 is released for Scala 2.13 and Scala 3
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Monocle 3 Roadmap
We always have work to do, for example to define scalfix rules to automate the migration https://github.com/optics-dev/Monocle/issues/1001
What are some alternatives?
Scalaz - Principled Functional Programming in Scala
Quicklens - Modify deeply nested case class fields
Shapeless - Generic programming for Scala
ZIO - ZIO — A type-safe, composable library for async and concurrent programming in Scala
Chimney - Scala library for boilerplate-free, type-safe data transformations
ScalaTest - A testing tool for Scala and Java developers
Scala Async - An asynchronous programming facility for Scala
Scala Graph - Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.
Scala Blitz - Scala framework for efficient sequential and data-parallel collections -