grace
post-rfc
grace | post-rfc | |
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5 | 27 | |
375 | 2,186 | |
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6.3 | 2.3 | |
5 months ago | 10 months ago | |
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BSD 3-clause "New" or "Revised" License | Creative Commons Attribution 4.0 |
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grace
- I want to learn Haskell, but...
- PL Scaffolding project?
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Is there a standardized programming model to build compilers with Haskell that I can follow to assure the best results?
Gabriella Gonzles's Fall-from-Grace is intended to be a demonstration of best practices when implementing a language in Haskell. If you were starting a brand new project, I would recommend to fork it and to gradually modify the Grace language into your language, but since you've already started, I recommend to look at the code for inspiration instead.
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The appeal of bidirectional type-checking
My Grace project has a reference implementation of a bidirectional type-checker, so you can test drive it using the REPL:
- Building a toy compiler in Haskell, what kind of parser should I be using?
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?
copilot - A stream-based runtime-verification framework for generating hard real-time C code.
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
Lamar - Fast Inversion of Control Tool and Successor to StructureMap
envy - :angry: Environmentally friendly environment variables
tiny-games-hs - Haskell Tiny Game Jam
hackage-server - Hackage-Server: A Haskell Package Repository
Autofac - An addictive .NET IoC container
rlua - High level Lua bindings to Rust
plzoo - Programming Languages Zoo
awesome-haskell - A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.
DryIoc - DryIoc is fast, small, full-featured IoC Container for .NET
hoogle - Haskell API search engine