milewski-ctfp-pdf
applied-fp-course
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milewski-ctfp-pdf
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reflect-cpp - Now with compile time extraction of field names from structs and enums using C++-20.
Category Theory for Programmers by Bartosz Milewski (https://github.com/hmemcpy/milewski-ctfp-pdf/releases)
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Category Theory for Programming
Strangely similar name to the well-known 'Category Theory for Programmers'
https://github.com/hmemcpy/milewski-ctfp-pdf
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Polynomial Functors: A Mathematical Theory of Interaction [pdf]
There's this, but the programmer doesn't have to be working:
https://bartoszmilewski.com/2014/10/28/category-theory-for-p...
- Monads vs Classes
- 今天看到的,是真的离谱。
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Reading recomendations on Category Theory
Milewski's "Category Theory for Programmers".
- Ask HN: Math for Programmers?
- [Math] Category Theory for Programmers
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Some math topics get mentioned a bunch in functional programming articles and forums. Which ones have ever actually helped you in writing your programs?
(3) category theory. I was never advised to read any, but found that bartosz's introduction really good. https://bartoszmilewski.com/2014/10/28/category-theory-for-programmers-the-preface/. Helps to rewire the brain.
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what is the relation of a class in programming and category theory?
It's also possible to model programming languages using category theory, but I know less about that. If you're interested in following this up, then Benjamin Pierce has what I'm told is a good introduction to category theory for computer scientists, and Bartosz Milweski has an online book (it might be available in hard copy as well, I'm not sure) called Category Theory for Programmers. I believe simple programming languages like the simply typed lambda calculus end up being modelled as Cartesian closed categories.
applied-fp-course
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Are you interested in a 'Haskell in depth' reading group?
Yes. Also interested in working through Sandy Maguire's Algebra-Driven Design and https://github.com/qfpl/applied-fp-course if anyone else is interested.
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Next Step After Haskell Programming from First Principles
I would suggest the QFPL's "Applied FP Course": https://github.com/qfpl/applied-fp-course (disclaimer: I helped write it).
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So I've finished _Hask ell Programming from First Principles_. What's next?
Have a crack at https://github.com/qfpl/applied-fp-course , which takes you through building a small HTTP API from barebones wai upward, using realistic coding patterns. I helped write it so I'm a bit biased, but I think it's good. When QFPL ran the course in-person, students would get so engrossed that we'd have to drag them away from their computers otherwise they'd miss out on the free lunches. That means it does something right.
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What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
Applied course: https://github.com/qfpl/applied-fp-course
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Exercise/Practice Resources for Beginners / Intermediate
Once you're through those, you might want to give https://github.com/qfpl/applied-fp-course a try.
What are some alternatives?
semantic-source - Parsing, analyzing, and comparing source code across many languages
haskell-ml - Various examples of machine learning, in Haskell.
web-dev-golang-anti-textbook - Learn how to write webapps without a framework in Go.
adventofcode - Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala
paip-lisp - Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
c-scikit-learn - C bindings for scikit-learn
practicing-ruby-manuscripts - Collection of source manuscripts for publicly released Practicing Ruby articles
backprop - Heterogeneous automatic differentiation ("backpropagation") in Haskell
owasp-masvs - The OWASP MASVS (Mobile Application Security Verification Standard) is the industry standard for mobile app security.
haskell-wushu-panda - Haskell in practice course
Yup - Dead simple Object schema validation
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.