Top Tweets for #parametricity
"Explore #parametricity theorem and applications to practical #functionalprogramming! Join @data_fly at #scalax for a step-by-step interpretation of proofs based on Philip Wadler's paper "Theorems for free!"
More info here: https://t.co/8czoilNmaV
"the profunctor representation reveals a lattice structure among varieties of optics-structure that remains hidden with the concrete representations"- Reminder that generic representations reveal underlying patterns better than concrete ones https://t.co/KwiRlvmyzk #parametricity

"Starting #Data61 Functional Programming Course"
A rare opportunity get started at the Data61's #FunctionalProgramming Course at #FnConf18.
In this workshop, Brian McKenna @puffnfresh covers #EquationalReasoning, #Parametricity and #TypeDrivenDevelopment.
https://t.co/uvEqhMPfGp

#JCConf 議程報報《#Parametricity in Scala》
@ScalaTaiwan 的發起人,同時也對各種 #Scala 知識有多年研究的 @weihsiu ,將會介紹 function 宣告上 parameter 跟 type 的設計,是如何引導出直覺好懂的實作方式。
https://t.co/QnIW7J3EIA
#Parametricity is an essential step in convincing yourself that there is something more profound to #FunctionalProgramming than meets the eye 👀
Daniel Sebban shows us how in his article 'Understanding #Parametricity in #Scala'
https://t.co/ler8Z7hLO6
#Parametricity in #Scala may seem like magic 🎩🐇 but @dsebban show's us otherwise in his latest article!
Check it out below 👇
https://t.co/SBZ2Gmw2Jx
#Parametricity is mindblowing. Statically-enforced well-scoped, well-typed, and hygienic effectful code generation:
https://t.co/5tj7PkHhcs
All it takes is a universal quantifier.
And they said a type signature tells you nothing about your code :) #Haskell
#Parametricity in #Scala may seem like magic 🎩🐇 but @dsebban show's us otherwise in his latest article!
Check it out below 👇
https://t.co/fBjMso7YLF
#Parametricity in #Scala may seem like magic 🎩🐇 but @dsebban show's us otherwise in his latest article!
Check it out below 👇
https://t.co/0BBNN68aHr
#Parametricity in #Scala may seem like magic 🎩🐇 but @dsebban show's us otherwise in his latest article!
Check it out below 👇
https://t.co/NMPKP2G6BR
Requesting cool applications of #parametricity (especially #RankNTypes / higher-rank types)
Something in the spirit of Janis Voigtländer's thesis (https://t.co/GXh8AOiVJn)

What I like about this idea by @BanjoTragedy: combines #Coercible, #parametricity and *very* simple types doing the heavy lifting:
newtype Named(name) a = Named a
is just 'a' (with phantom 'name'), aka Tagged
· Tagged https://t.co/m0YYYox6fV
· reddit https://t.co/cDX14DU4Co
The mortals want #DependentTypes before the gift of #parametricity has even been realized, what hubris
Edward Kmett: [3:18:37] I use very little testing and I use a lot of #parametricity and such to reason about my code. #Haskell
https://t.co/KaAZxCVQJ8
@emi1ypi I keep on quoting the version of @larsr_h .. Premature specialization is the root of all evil #parametricity
Ruminations of a Programmer: Baking a π can teach you a bit of #Parametricity | @debasishg https://t.co/WpnOWgABw4

Ruminations of a Programmer: Baking a π can teach you a bit of #Parametricity | @debasishg https://t.co/DwWuOQVl1o

Ruminations of a Programmer: Baking a π can teach you a bit of #Parametricity | @debasishg https://t.co/MEbRXGBO1U

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