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On this episode of Eat Sleep Code, guest Dave Fancher talk about Functional Programming. We discuss how functional programming has made its way back into modern development, clean coding, and more. 

http://developer.telerik.com/content-types/podcast/better-code-with-functional-programming/

Ed Charbeneau** :** Hello and welcome to Eat Sleep Code, the official Telerik podcast. I'm your host, Ed Charbeneau, and with me today is Dave Fancher.

Dave Fancher** :** Hello!

EC: And today Dave and I will be talking about functional programming in .NET. Dave is author of, The book of F#, from No Starch Press and a Microsoft MVP for .NET and also the owner of Achiiv Solutions. Dave is a Pluralsight author, and he's done a course called, "Building F# Type Providers" and he's working on a new course about functional programming with C#. So Dave what is functional programming?

DF: So ask ten different programmers what functional programming is, and you'll likely get ten different answers. But in general, they tend to boil down to three main characteristics. The first one is that functional programming is about controlling side effects, side effects are anything that changes the external state of the system. It could be as benign as writing to a log file, or it could be more nefarious like changing some shared data across the system. Under functional programming, we wanna control that as much as possible, also under functional programming, we tend to focus on expressions rather than statements, so C# tends to be statement-based. There are some expressions in there, but for the most part it's statement based, your if statements, your using statements, and so on, versus a functional language tends to be focused on expressions, rather than executing something for its effect we wanna execute something for its result. And then finally, functional programming is really centered on the idea of mathematical functions. And so functional languages want to treat functions as data. So you can pass around functions just as you would an integer or a string and that gives way to higher order functions, which is where most of the power of functional programming comes from.

EC: So you're controlling the mutability of the data in the application.

Find the full transcript on Telerik Developer Network http://developer.telerik.com/content-types/podcast/better-code-with-functional-programming/

Developer Network

Better code with functional programming

A jingle composing by Benjy Montoya (@benjymontoya) for the bigger functional programming conference in Spain.

The song try to imagine the day a day of a software developer. From alarm starts to sound until that he goes to sleep, always thinking in programming

Lambda World

Speaker:
John DeGoes

Date:
December 1, 2016

Location : 
Denver Functional Programming Meetup

Slides:
http://www.slideshare.net/DenverFP/streams-for-cofree-69769852

Description:
There are many popular stream libraries for Scala developers, including Akka Streams, scalaz-stream, fs2, plus others in the Java ecosystem. While all excellent choices for building reactive Scala applications, their reliance on effects makes them particularly difficult to test and reason about.

In this talk, long-time Scala functional programmer John A. De Goes takes to the stage to demonstrate a new approach to modeling streams that requires less machinery and has more reasoning power, composability, flexibility, and testability than many other approaches. By attending the talk, you'll learn how the best stream library may be the one you get for (co)free!

Stream for (Co)Free!

John DeGoes: Streams For (Co)Free!

This week’s podcast features a chat with Vitor Olivier. Vitor is a partner at NuBank (a technology-centric bank in Brazil). This podcast hits on topics from several of Nubank’s recent QCon talks and includes things like: Nubank’s stack, functional programming, event sourcing, defining service boundaries, recommendations on reasoning about services, tips (or tweaks) on the second iteration of their initial architecture and more.

Why listen to this podcast:

- Property-based testing and Schemas (or Clojure.Spec)are complementary.
- Clojure’s functional nature and Datomic’s features are a match for Nubank’s requirements.
 - A (micro)service needs to be able to create the full representation of the core feature it’s handling.
 - GraphQL is useful to abstract away the distributed system complexity from the mobile (or frontend) developers.
 - Nubank’s uses a combination of monitoring and sanity checks in real time at various level to keep systems consistent. 
- Once an invariant is broken, the system will try to fix it automatically.

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2mnqyfK

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InfoQ Podcast

Show Notes

Architecting a Modern Financial Institution with Vitor Olivier, Thoughts on Immutability, CI/CD, FP

I sat down with David Koontz to find out what Functional Programming is all about. We talked about how it could be better than OOP and his favorite recruiting story.

Functional Programmer - David Koontz

Software Development is in a State of Crisis - Episode 13

WhatTheFunctor Mixdown2

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