post-rfc

Blog post previews in need of peer review (by Gabriella439)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better post-rfc alternative or higher similarity.

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post-rfc reviews and mentions

Posts with mentions or reviews of post-rfc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Haskell in Production: Standard Chartered
    2 projects | news.ycombinator.com | 3 May 2023
    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

  • Recommendations for well informed, up-to-date guide to Haskell backend engineering
    2 projects | /r/haskell | 11 Mar 2023
    Note that this is ported from here: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md which comes with more exposition.
  • I want to learn Haskell, but...
    5 projects | /r/haskell | 12 Feb 2023
    State of the Haskell Ecosystem
  • Why are haskell applications so obscure?
    7 projects | /r/haskell | 10 Jan 2023
    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.
  • base case
    2 projects | /r/haskell | 19 Dec 2022
    This is great for understanding what libraries to use in the Haskell ecosystem: https://github.com/Gabriella439/post-rfc/blob/main/sotu.md
  • Haskell for beginners
    3 projects | /r/haskell | 30 Nov 2022
    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
    8 projects | /r/haskell | 16 Nov 2022
  • Is there "Are We <#$%&> Yet" type of websites for Haskell?
    1 project | /r/haskell | 7 Sep 2022
    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
    1 project | /r/transvoice | 4 Sep 2022
  • Haskell for Artificial Intelligence?
    6 projects | /r/haskell | 30 May 2022
    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.
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