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let rx_request = Observable<Value>.create { (observer) -> Disposable in
            let requestReference = Alamofire.request(.POST, url, parameters: payload)
                .responseJSON(completionHandler: { (response) in
                    if let value = response.result.value {
                        observer.onNext(value)
                        observer.onCompleted()
                    }else if let error = response.result.error {
                        observer.onError(error)
                    }
                })

Saik0s

Videos

• Introduction to Functional Programming Johannes Weiß - https://vimeo.com/100786088
• ReactiveCocoa at MobiDevDay Andrew Sardone - https://vimeo.com/65637501
• The Future Of ReactiveCocoa Justin Spahr-Summers - https://www.youtube.com/watch?v=ICNjRS2X8WM
• Enemy of the State Justin Spahr-Summers - https://www.youtube.com/watch?v=7AqXBuJOJkY
• WWDC 2014 Session 229 - Advanced iOS Application Architecture and Patterns Andy Matuschak - https://developer.apple.com/videos/play/wwdc2014/229/
• Functioning as a Functionalist Andy Matuschak - https://www.youtube.com/watch?v=rJosPrqBqrA
• Controlling Complexity in Swift Andy Matuschak - https://realm.io/news/andy-matuschak-controlling-complexity/

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/*

In response of Tom Lokhort's article.
A third alternative: alternative 2 under steroïds
---
Source: http://tom.lokhorst.eu/2017/07/strongly-typed-identifiers-in-swift
*/

struct GenericIdentifier<T>: RawRepresentable, Hashable, Equatable {
    let rawValue: String

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#!/usr/bin/env xcrun swift -O

/*
gen.swift is a direct port of cfdrake's helloevolve.py from Python 2.7 to Swift 3
-------------------- https://gist.github.com/cfdrake/973505 ---------------------
gen.swift implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.
The parameters of the simulation can be changed by modifying one of the many

Saik0s

How I setup my machine after a fresh install

Download and Install Applications

1. Install Dropbox
2. Install 1Password
3. Install Alfred
4. Install Skype
5. Install iTerm
6. Install Cloud App
7. Install BetterTouchTool

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Set up a new os x laptop

Steps to setup a new OS X laptop with a data science & computational biology development environment.

Last updated: 7 Jan 2017 macOS: Yosemite => Sierra

Sure you could try to do this from dotfiles, but historically something has broken and required manual input anyway. So, inspired by the pragmatism of paul irish bash setup script and a few other gists written in markdown like this, I rolled my own.

Some design considerations:

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Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

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Contributing

When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.

Please note we have a code of conduct, please follow it in all your interactions with the project.

Pull Request Process

1. Ensure any install or build dependencies are removed before the end of the layer when doing a

Saik0s

A composable pattern for pure state machines with effects

State machines are everywhere in interactive systems, but they're rarely defined clearly and explicitly. Given some big blob of code including implicit state machines, which transitions are possible and under what conditions? What effects take place on what transitions?

There are existing design patterns for state machines, but all the patterns I've seen complect side effects with the structure of the state machine itself. Instances of these patterns are difficult to test without mocking, and they end up with more dependencies. Worse, the classic patterns compose poorly: hierarchical state machines are typically not straightforward extensions. The functional programming world has solutions, but they don't transpose neatly enough to be broadly usable in mainstream languages.

Here I present a composable pattern for pure state machiness with effects,

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// Run any SwiftUI view as a Mac app.

import Cocoa
import SwiftUI

NSApplication.shared.run {
    VStack {
        Text("Hello, World")
        	.padding()
            .background(Capsule().fill(Color.blue))