learn-you-a-haskell
post-rfc
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learn-you-a-haskell
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Revisiting Haskell after 10 years
The LYAH is by far my favorite book for beginners, however, it lacks exercises for you to practice, but you can still move along typing and playing with the examples shown, and it’s free to read online. It’s outdated but most of the code may still be valid with little to no changes.
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Should I Haskell or OCaml?
Learn You a Haskell For Great Good! is also a really good resource:
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So Hows the Hackathon Going?
you start that way, but don't do http://learnyouahaskell.com really?
- help i just discovered haskell 38 hours ago and i think i love it
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Why I decided to learn (and teach) Clojure
Elm is a statically typed language inspired by Haskell. The natural step would be to use Elm on the frontend and Haskell on the backend. And that's what I tried to do. I read with some difficulty the Learn You a Haskell for Great Good! book (available for free here) and learned a lot of cool stuff. But creating a complete backend using Haskell proved to be more than I could chew. So I decided to look for alternatives...
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I’m trying coding
Here y’go!
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Starting out.
Definitely check out: http://learnyouahaskell.com
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Can someone define a monad in simple terms?
You see? It's not simple but you'll get there if you persist. Most Haskell and Purescript books cover it. Personally it clicked for me going through the "learn you a haskell" book. http://learnyouahaskell.com
- Počeo da učim Haskell
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Combine and functional programming
You just wait until you start reading this http://learnyouahaskell.com/
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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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.
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Haskell - Important Libraries
State of the Haskell Ecosystem lists libraries for many of its domains.
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What are the current challenges in Numerical Programming for Haskell?
Recently saw this repo that shows the state of Haskell in a lot of programming applications. It classifies it as Immature for Numerical Programming; I would like to know what are the challenges in it.
What are some alternatives?
learn4haskell - 👩🏫 👨🏫 Learn Haskell basics in 4 pull requests
plutus-pioneer-program - This repository hosts the lectures of the Plutus Pioneers Program. This program is a training course that the IOG Education Team provides to recruit and train software developers in Plutus, the native smart contract language for the Cardano ecosystem.
coq - Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
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
learn-you-a-haskell-notebook - Jupyter adaptation of Learn You a Haskell for Great Good!
algebra-driven-design - Source material for Algebra-Driven Design
integrant - Micro-framework for data-driven architecture
inline-js - Call JavaScript from Haskell, and vice versa!
developer-portal - The Cardano Developer Portal
hackage-server - Hackage-Server: A Haskell Package Repository
envy - :angry: Environmentally friendly environment variables