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Best Episodes of LambdaCast

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This time we discuss the way data tends to be structured in functional languages and some of the similarities with databases and REST. Episode 22 patrons: Jason Sooter Jamie Rolfs Christian Hamburger Daniel Svensson Di Wen Iulian Bojinca Jonathan Fishbein Nathan Sculli Nels Wadycki Paul Naranja Peter Tillemans Thomas Varney Tyler Harper weila wei Dawn (שחר) Show Notes: CPPCast: John Soo - Sharing in Haskell Alejandro’s link to Phantom Types article: FP Chat Slack Community: Intro/Outro music is "Lively Lumpsucker" by Kevin MacLeod ( Licensed under Creative Commons: By Attribution 3.0 License
You may have seen generics in C#, Java, or Swift but there are a lot of very useful patterns using generics that rarely get used in an OO context. In this episode, we explore Type Parameters (aka generics) from a functional perspective and how using them can improve the structure of your applications. Episode 21 patrons: Scott Smith Joel McCracken Hakon Rossebo Seth Utecht Christophe Pereira da Conceicao E. Mulder Show Notes: Add a type parameter video: Matt Parson's follow-up post: Stephen’s Twitter: Type Parameter example in Scala: FP Chat Slack Community:
Lazy evaluation is not normally something you hear programmers discussing but there is a lot of power available if you know how to use it. This episode we'll examine the differences between lazy and strict evaluation and look at use cases for laziness. Episode 20 patrons: Marcus Nielsen Steven Loe Ted Yavuzkurt Michael Meyers Szymon Beczkowski Parl Naranja Paul Brabban Jason Sooter Show Notes: Memoization: Using IEnumerable in C# to generate an infinite sequence: FP Chat Slack Community:
Logan walks us through what his experience has been starting a JavaScript project in a functional style and using the best FP tools he can get in the JavaScript ecosystem. Episode 19 patrons: Nathan Sculli Lee Beck David Joyner Nihohit Charles Winebrinner FP Chat Slack Community:
Monads, the promised land of functional programming. Or at least with all the hype they'd better be! Come join the cast as we demystify this overhyped structure that has become an indispensable part of many functional programmer's toolkits. Episode 18 patrons: Pluton Tim Buckley Huge shout out to Marcus Nielsen Show Notes: bind :: m a -> (a -> m b) -> m b Example of do syntax vs using bind aka >>=: main = do foo <- doMonadyThing foo2 <- doOtherMonadyThing foo pure (whatever foo foo2) main = doMonadyThing >>= (\foo -> doOtherMonadyThing foo >>= (\foo2 -> pure (whatever foo foo2)) ) Extracting a value from a Maybe extract :: Just Int -> Int extract foo = case foo of Just num -> num Nothing -> 0 Railroad oriented programming talk by Scott Wlaschin FP Chat Slack Community:
Building on the power of functors we examine a few scenarios where a normal Functor is problematic. Fortunately, there is a closely related structure known as an Applicative Functor that can provide the capabilities to solve a broader range of problems. Episode 17 patrons: Chad Wooley David Keathley Andre Carvalho Show Notes: Coconut programming language: Hack nights instead of presentations: class Functor f => Applicative f where pure :: Applicative f => a -> f a ap :: Applicative f => f (a -> b) -> f a -> f b Example of applicative usage: pure (+) <*> Just 3 <*> Just 2 -- this results in Just 5 (+) <$> Just 3 <*> Just 2 -- this is the same as above liftA2 (+) (Just 3) (Just 2) -- alternate form using lift instead of infix operators
Going deeper down the category theory rabbit hole, we explore one of the most common and useful abstractions in the functional programming world. You're likely already familiar with Functors but just didn't know it yet. Episode 16 patrons: Chris Krycho Tyler Harper George Webster Show Notes: Functor map :: (a -> b) -> f a -> f b Bifunctor bimap :: (a -> b) -> (c -> d) -> f a c -> f b d Profunctor dimap :: (a -> b) -> (c -> d) -> f b c -> f a d Phil Freeman's talk on Profunctors:
Join us as we discuss the FP community. FP has a reputation as harsh and impenetrable but is that really the case? What can you do to make FP a more inviting place? Episode 15 patrons: Chris Lopes Gabe Johnson Randy Shepherd Noel Waghorn Correction: I incorrectly stated that one of the Recurse Center Social rules was “No Feigned Ignorance” it is actually “No Feigned Surprise” Show Notes: Cloud Haskell - Recurse Center Social Rules - Lambdaconf COC - Moonconf COC - Haskellbook - NY Haskell speaker guide - Spa day instead of pub meetup - Steven Syrek -
The kind of type system a functional language uses has a large impact on the way you use that language. In this episode we discuss the tradeoffs involved in using a static or dynamic language. Our patreon sponsors this month: Javier Troconis Andrew Newman Derek Morr Olov Johansson Show Notes: Philip Wadler Talk: Denotational Design Scott Wlaschin Poker Implementation Conal Elliot presentation on Denotational Design Our recomendation for a DDD book
Algebraic Data Types (ADTs) are one of the most distinguishing features of statically typed functional languages. Come learn why they exist, how you can use them, and how they change your design. Join the FP community at Support us on Patreon at Follow us on Twitter: Show Notes: Denotational Design with the example of a Poker game
Into the icy maw of category theory starting with Monoids! In reality we find out it's not actually all that scary and there are some really fantastic things that we gain by understanding these basic categorical concepts. We now have a twitter account! Follow us at We also now have a patron account if you're looking to support the show: Show Notes: Haskell Diagrams library Chris Wilson pointed out that Haskell's Typeclassopedia has a nice chart of the relationship between Haskell's implementation of many categorical structures:
We have launched our Patreon page, if you feel so inclined come support us at C# Maybe(and lots more) Immutable Collections API Elm Language PureScript Language
Partial application and currying are a feature that is often mysterious to the uninitiated. Why do functional programmers care about such a seemingly useless thing? Partial application is an important part of the "FP toolkit" and we'll why and provide use cases for the importance of having partial application. Simple made easy - Scott Wlaschin - OO Patterns to FP Patterns talk Lodash/fp - Ramda -
Abstraction takes on a different meaning amongst functional programmers. This episode we dig into how parametric polymorphism is an essential tool in developing well behaved abstractions that transcend simply being a solution to your individual problem. John Degoes polymorphism post When x, y, and z are great variable names
Oh category theory, bastion of strange and wonderful terminology, (some might say terrible and inaccessible). Love it or hate it, you're likely to run into some terms from category theory if you spend enough time in FP land. In this episode we'll tackle some of the terms that make up the 'ism family of terms, morphism, endomorphism, isomorphism, homomorphism, and catamorphism. Denotational design talk:
Recursion, that infinite spiral of self referentiality. In this episode we break down the ideas behind recursion, and more importantly when and where you might want to use recursion.
To write a program is to deal with uncertainty. Sometimes it feels like there's nothing we can count on and null (or undefined) is as pervasive as any other construct in our languages. However this does not have to be! LambdaCast dives into the thorny problem of null, and more broadly the potential for values not to exist and offers up some alternatives. Aaron's "and then" reference:
This time we tackle the thorny issue of how you get anything done when you're not allowed to change anything. If the idea of immutability seems strange or even impossible, then we've got you covered.
This episode we discuss the ins and outs of higher-order functions. If you've never heard of them don't fear they're not as scary as they sound, in fact you're probably already using them!
This time around we'll be talking over the core benefits of FP and why you might want to consider its use in your projects. Tell us what you think at Show Notes:
Wrapping up our grand tour of functional programming we go into more depth about the benefits of a functional first language. Tell us what you think at Show Notes:
In this first episode we discuss the big picture ideas that make functional programming distinct from other styles of programming. No experience required! If you're interested in learning what the fuss is about, this is the episode to start with. Tell us what you think at Transcription provided by Eric Inman
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Podcast Details

Created by
Podcast Status
Jul 11th, 2016
Latest Episode
Jun 14th, 2019
Release Period
2 per month
Avg. Episode Length
About 1 hour

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