envy
post-rfc
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envy | post-rfc | |
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1 | 27 | |
149 | 2,187 | |
- | - | |
3.3 | 2.3 | |
23 days ago | 9 months ago | |
Haskell | ||
BSD 3-clause "New" or "Revised" License | Creative Commons Attribution 4.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
envy
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I’ve tried to learn Haskell several times. But keep failing
when you already know how to compile and run single-module interactive console programs, it takes about a day to understand basics of Cabal, and about a week to learn about input parsing and output formatting. Do you need CLI args? Use optparse-applicative. Env vars? Use envy. JSON? Use aeson. Don't think about performance and/or API conventions, that's not what you should be concerned of at this point, as you are just learning to compose things together from indivdual parts.
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:
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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?
huck - 'Cause just like in the classic mis-adventure, Tom doesn't really pull his weight. So Huck is gathering all the toml parsers and making them betterer.
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
bench - Command-line benchmark tool
hackage-server - Hackage-Server: A Haskell Package Repository
taffybar - A gtk based status bar for tiling window managers such as XMonad
rlua - High level Lua bindings to Rust
hackage-search - An application that lets you search for anything on Hackage
awesome-haskell - A collection of awesome Haskell links, frameworks, libraries and software. Inspired by awesome projects line.
cabal-query - Helpers for quering .cabal files or hackageDB 00-index.tar
hoogle - Haskell API search engine
libsystemd-journal - Haskell bindings to libsystemd-journal
miso - :ramen: A tasty Haskell front-end framework