gitflow | git |
---|---|
git flow init |
git init |
git commit --allow-empty -m "Initial commit" |
|
git checkout -b develop master |
/** | |
* testing tasks (using karma to test in the browser). Requires a karma.conf.js for full config | |
* single-run testing | |
* continuous testing | |
*/ | |
/** base deps, but you may need more specifically for your application */ | |
var gulp = require('gulp'); | |
var gutil = require('gulp-util'); | |
var path = require('path'); |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
In React's terminology, there are five core types that are important to distinguish:
React Elements
// Gulp 4 | |
var gulp = require('gulp'); | |
var using = require('gulp-using'); | |
var grep = require('gulp-grep'); | |
var changed = require('gulp-changed'); | |
var del = require('del'); | |
var coffee = require('gulp-coffee'); | |
var less = require('gulp-less'); | |
var coffeelint = require('gulp-coffeelint'); | |
var sourcemaps = require('gulp-sourcemaps'); |
var gulp = require('gulp'); | |
var sourcemaps = require('gulp-sourcemaps'); | |
var source = require('vinyl-source-stream'); | |
var buffer = require('vinyl-buffer'); | |
var browserify = require('browserify'); | |
var watchify = require('watchify'); | |
var babel = require('babelify'); | |
function compile(watch) { | |
var bundler = watchify(browserify('./src/index.js', { debug: true }).transform(babel)); |
'use strict'; | |
function rxDecorateDirective($provide, directiveName) { | |
// Duck-typing function lifted from the rx.js source. | |
function isObservable(obj) { | |
return obj && typeof obj.subscribe === 'function'; | |
} | |
$provide.decorator(directiveName + 'Directive', ['$delegate', 'rx', function($delegate, rx) { | |
var directiveConfig = $delegate[0]; |
public class Pager<I, O> { | |
private static final Observable FINISH_SEQUENCE = Observable.never(); | |
private PublishSubject<Observable<I>> pages; | |
private Observable<I> nextPage = finish(); | |
private Subscription subscription = Subscriptions.empty(); | |
private final PagingFunction<I> pagingFunction; | |
private final Func1<I, O> pageTransformer; |
import React from "react"; | |
import ReactDOM from "react-dom"; | |
import { fromPairs, map, pick } from "ramda"; | |
/** | |
* Wraps a React component into Angular component. Returns a new Angular component. | |
* | |
* Usage: angular.module('some.module').component('newAngularComponent', react2angular(MyReactComponent)) | |
* (the usage is the same as in similar lib https://github.com/coatue-oss/react2angular) | |
*/ |
I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.
This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea