linear
post-rfc
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14 days ago | 10 months ago | |
Haskell | ||
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linear
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GHC.Num: Why no multiplication commutativity?
Linear.Quaternion.Quaterion from the linear package has a Num instance, and quaternion multiplication is noncommutative.
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Is there an existing typeclass for differences?
That's pretty much exactly the abstraction used in the 'linear' package's Affine class, in which we find points separated by vectors.
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What are the current challenges in Numerical Programming for Haskell?
Linear algebra: hmatrix again with its own array type (and linear but this is restricted to low dimensions)
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Advanced programming exercises/apps recommendations to code
This is very niche, but something I've wanted to do for a while is to generate some cool physics example on the surface of a sphere with https://hackage.haskell.org/package/hamilton, and display it with https://reanimate.github.io/ (using https://hackage.haskell.org/package/linear for the projection)
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How to create my Functor / Eq / Num combination on Coords?
Do check out the linear package. It has some complicated parts, but the types work out very nicely. Your Coords type is called V3 in that package, it has a huge list of instances for all kinds of different type classes.
- Advent of Code 2021 day 06
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Probabilistic modelling in Idris: engineering as research
I've come to love the linear approach, where instead of working with Naperian (Representable) functors, you work with Distributive functors.
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Monthly Hask Anything (June 2021)
See also the linear library, it contains types like data V3 a = V3 a a a with all of the useful instances.
post-rfc
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Haskell in Production: Standard Chartered
That's what it's best for, but personally I use it for everything. If I ever get into low-level code I'll probably use Rust though.
You can confirm that parsers/tokenizers is ranked "best in class" here though:
https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
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Recommendations for well informed, up-to-date guide to Haskell backend engineering
Note that this is ported from here: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md which comes with more exposition.
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I want to learn Haskell, but...
State of the Haskell Ecosystem
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Why are haskell applications so obscure?
According to State of the Haskell ecosystem, Haskell is THE language of choice for implementing compilers, and THE language of choice for writing parsers. Thus, it is not surprising to see more Haskell projects from those particular categories than from other categories.
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base case
This is great for understanding what libraries to use in the Haskell ecosystem: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
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Haskell for beginners
In particular, I got comfortable reading hackage documentation to understand quickly how to use libraries (aeson, megaparsec, mtl, pipes, etc), got comfortable with the ecosystem (this helped: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md), got comfortable with the main language idioms and features (https://smunix.github.io/dev.stephendiehl.com/hask/tutorial.pdf) and got comfortable with simple things that for some reason had confused me before (case, \case, let).
- What can I do in Haskell? UwU
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Is there "Are We <#$%&> Yet" type of websites for Haskell?
Gabriella Gonzalez has a great doc that is reasonably up-to-date, sounds similar to what you're looking for? https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
- What I wish I had known about voice feminization from the beginning
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Haskell for Artificial Intelligence?
With that being said, Python is without a doubt the best option, and I'd also be very interested to read the articles you found that say that Python is not a good choice because it's been the industry standard for a long time now. Data science and machine learning are one of the areas where the Haskell ecosystem is not as strong as other languages, but libraries and tools do exist. There's a great list of Haskell resources by domain here, and as you can see, there are Haskell bindings to tensorflow and pytorch, along with other libraries that support common data science programming.
What are some alternatives?
nimber - Finite nimber arithmetic
ihp - 🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
nuha
envy - :angry: Environmentally friendly environment variables
moving-averages
hackage-server - Hackage-Server: A Haskell Package Repository
effect-zoo - Comparing Haskell effect systems for ergonomics and speed
rlua - High level Lua bindings to Rust
reservoir - Reservoir Sampling Algorithms in Haskell
awesome-haskell - A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.
linear-accelerate - Instances to mix linear with accelerate
hoogle - Haskell API search engine