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LambdaCast

LambdaCast is a podcast about functional programming for working developers. Our focus is to describe concepts using clear everyday language without watering anything down. If you've ever been curious about FP but were turned off by the jargon or unfamiliar concepts, this is the place to be.

Thoughts, comments, critique? Send them to contact@lambdacast.com

Music is "Lively Lumpsucker" by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License

Icon is a modification of "Communicator" by Juan Pablo Bravo (https://thenounproject.com/term/communicator/47500/)
Licensed under Creative Commons: By Attribution 3.0 License

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 contact@lambdacast.com

Transcription provided by Eric Inman
https://drive.google.com/file/d/0B3raKkneFJOXSU1rWEstSUwxTk0/view?usp=sharing

1: Overview Of Functional Programming

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 contact@lambdacast.com

Show Notes:
https://www.infoq.com/presentations/Simple-Made-Easy
https://www.infoq.com/presentations/Value-Values
http://l.facebook.com/l.php?u=http%3A%2F%2Fheeris.id.au%2F2013%2Fthis-is-why-you-shouldnt-interrupt-a-programmer%2F&h=5AQHAs9rP
http://fsharpforfunandprofit.com/

2: Overview of Functional Programming part 2

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 contact@lambdacast.com

Show Notes:
https://www.destroyallsoftware.com/talks/boundaries
http://blog.ploeh.dk/2015/08/17/when-x-y-and-z-are-great-variable-names/

3: Why FP?

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!

4: Higher-Order Functions

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.

5: Immutability

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: https://www.youtube.com/watch?v=CkdyU_eUm1U

6: Null And Friends

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.

7: Recursion

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: https://www.youtube.com/watch?v=bmKYiUOEo2A

8: Morphisms

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
http://degoes.net/articles/insufficiently-polymorphic

When x, y, and z are great variable names
http://blog.ploeh.dk/2015/08/17/when-x-y-and-z-are-great-variable-names/

9: Polymorphism And Abstraction

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 - https://www.infoq.com/presentations/Simple-Made-Easy
Scott Wlaschin https://fsharpforfunandprofit.com/fppatterns/ 
https://vimeo.com/113588389 - OO Patterns to FP Patterns talk

Lodash/fp - https://github.com/lodash/lodash/wiki/FP-Guide
Ramda - http://ramdajs.com/

10: Partial Application

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: https://www.youtube.com/watch?v=OJtGECfksds

16: Functors

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