Telos Functional and Integrative Medicine, La crosse mission is to provide customized and personalized care for each of our clients. We achieve this by incorporating a systems biology framework into our medical practice. The goal of functional medicine is to address the root causes of each person's sickness to discover how and why an illness develops and to restore health. We accomplish this by applying a Systems Biology approach to our practice of medicine. In alliance with our clients, we succeed by leveraging leading-edge science to decipher the complex interaction of our clients' genomes and their unique epigenetic responses to exposures over time.
My Functional Programming journey was filled with dead ends, false starts, failed attempts and frustration. And I suspect that I’m not alone in this struggle. So why is this a common problem…
Learn more about how the Rust programming language shares many of the advantages offered by Haskell such as a strong type system, great tooling, polymorphism, immutability, concurrency, and great software testing methodologies. Rust is a good choice when you need to squeeze in extra performance.
This essay attempts to make Conal’s vision more understandable to less mathematically-oriented programmers, and also show how this perspective could be the foundation for a new era of programming, not just with user interfaces, but also multi-node computing, storage, machine learning, etc.
I’ve written this article series, to help you get a good sense of how production Haskell is written at a company like Klarna and what to avoid along the road.
Modern day javascript environments have many ways of dealing with state. One can use closures or classes to have some shared state, but sometimes a more elaborate state management library is needed…
This guide will use JavaScript instead of a pure functional programming language (e.g. Haskell) to make things more approachable for developers accustomed to imperative languages. It will, however, assume you have basic knowledge of functional programming, including currying and lambdas.
OOP is considered by many to be the crown jewel of computer science. The final solution to code organization. The end to all of our problems. The only true way to write our programs. Bestowed upon…
Reactive streams are a unified way of dealing with asynchronous events in JavaScript. Learn more in this tutorial with RxJs examples that you can run & modify.
Redux-Observable is a middleware for Redux which handles cancellation and many other asynchronous side effects by using reactive programming. … RxJS and Most.js are two libraries for reactive programming with which you can handle streams of actions in different ways. … In the following examples, Most.js will be used.
In Practical guide to writing more functional Javascript, we walked through how to reason about our code in functional programming terms. In this guide, we will talk about a few utilities I like to use to reason about these concepts and help us navigate through the imperative constructs JavaScript natively provides.
Who knows — probably? That’s not the point of this article – I am not going to talk about what Elm could be, I am going to tell you what it is today. Elm is a functional language that compiles to…
Functional programming is a great discipline to learn and apply when writing JavaScript. Writing stateless, idempotent, side-effect free code really does solve a lot of problems: But there’s a…
Reactive paradigm is a declarative way to manage changes in application status (versus traditional imperative programming), based on the concept of event streams.
As functional programmers, we like to piece our programs together out of small pieces. Our main tool for this is composition. We take an input, process it through a function, then pass it on to another function. And this all works great so long as all our functions take exactly one argument. Which never happens. So what do we do? In general, we turn to a set of tools called combinators. This article focusses on a particular combinator called the blackbird.
This is part of a three part examining the underling mathematics and mechanics of Asynchronous programming with javascript When i wanted to make sense of the continuations , i started from the basics…
A pragmatic new design for high-level abstractions Monads (and, more generally, constructs known as “higher kinded types”) are a tool for high-level abstraction in programming languages1. Historically, there has been a lot of debate inside (and outside) the Rust community about whether monads would be a useful abstraction to have in the language. I’m not concerned with that here. You see, there’s a problem with talking about whether monads would be useful or not, and it’s this: there are a large number of design challenges to overcome to have any hope of implementing them at all — to the best of my knowledge, there currently exists no realistic (that is, practical) design for monads in Rust. In fact, there are so many obstacles that some people express doubt that it’s even possible. Strictly speaking, they’re a lot more than that, but we’re only interested in the programming angle here. ↩
First two key features of the functional paradigm represented as 4 Pillars of Functional Programming: Immutability & Purity - benefits, qualities, code examples
A library to deal with Immutable updates in JavaScript. Based on the famous lens library from Haskell. Wrapped in a convenient Proxy interface - yelouafi/focused
Purely functional code makes some things easier to understand: because values don't change, you can call functions and know that only their return value matters—they don't change anything outside themselves. But this makes many real-world applications difficult: how do you write to a database, or to the screen? In this screencast we look at one method for crossing this divide.
I sat in a coffee shop reflecting on my journey in Haskell today. It was spurred on by briefly seeing the whole “monads are pipes” thing and some responses to it. I don’t involve myself in these…
When you build real world applications, you are not always on the "happy path". You must deal with validation, logging, network and service errors, and other annoyances. How do you manage all this within a functional paradigm, when you can't use exceptions, or do early returns, and when you have no stateful data?
Composition is a fundamental principle of functional programming, but how is it different from an object-oriented approach, and how do you use it in practice? In this talk for beginners, we'll start by going over the basic concepts of functional programming, and then look at some different ways that composition can be used to build large things from small things.
Dealing with stateful computations can be a real pain when you are writing purely functional JavaScript code. It can result in things like undesired variable declarations, and if you are not using…
In the previous post, I showed how to manually rewrite a Python function into “combinator form”, and then apply YC to it, to get a serialisable version of the original function. In this post, I show…
If you have come to this article, in order to understand it, you should be familiar with JavaScript, should have an understanding of what Reactive Programming (RP) is, as well as what Functional…
The 2018 Haskell User Survey shows very high satisfaction with Haskell’s security, quality, reliability, maintainability, and advanced capabilities, writes FP Complete’s CEO Aaron Contorer. InfoQ has taken the chance to speak with him about Haskell’s current and future landscape.
If you start learning about functional programming, it won't be long before you come across the idea of pure functions. And as you go on, you will discover functional programmers appear to be obsessed with them. “Pure functions let you reason about your code,” they say. “Pure functions are less likely to start a thermonuclear war.” “Pure functions give you referential transparency”. On and on it goes. And they have a point. Pure functions are a good thing. But what do you do with the impure bits of your code?
Previously we wrote about our purescript-web3 library and the advantages it offers over the traditional web3 stack. Up until recently we were still using truffle to deploy and manage smart contract…
Haskell programmers often code in ivory towers with their heads in the cloud. In this multi-part article series, we’ll get our feet wet diving deep below C l...
Reflex FRP is a composable, cross-platform functional reactive programming framework for Haskell. It allows you to build interactive components in pure functional style, working in harmony with established Haskell techniques and improving the quality and elegance of your applications.
Reflex FRP is a composable, cross-platform functional reactive programming framework for Haskell. It allows you to build interactive components in pure functional style, working in harmony with established Haskell techniques and improving the quality and elegance of your applications.
Immutable, structurally shared data structures are a great paradigm for storing state. Especially when combined with an event-sourcing architecture. However, there is a cost to pay. In a language…