siakaramalegos

// BrowserRouter is the router implementation for HTML5 browsers (vs Native).
// Link is your replacement for anchor tags.
// Route is the conditionally shown component based on matching a path to a URL.
// Switch returns only the first matching route rather than all matching routes.
import {
  BrowserRouter as Router,
  Link,
  Route,
  Switch,
} from 'react-router-dom';

prof3ssorSt3v3

//Sending Data to the Server using Fetch()
//using jsonplaceholder for the data
//GET - queryStrings
// http://jsonplaceholder.typicode.com/posts?userId=1&postId=65
// http://jsonplaceholder.typicode.com/todos?userId=2
//POST
// http://jsonplaceholder.typicode.com/posts  

const root = 'http://jsonplaceholder.typicode.com/';
let uri = root + 'posts';

hmldd

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"

cezarneaga

Say we have a prop.users of the shape:

const users = [
    {username: 'bob', age: 30, tags: [{name: 'work', id: 1}, {name: 'boring', id: 2}]},
    {username: 'jim', age: 25, tags: [{name: 'home', id: 3}, {name: 'fun', id: 4}]},
    {username: 'jane', age: 30, tags: [{name: 'vacation', id: 5}, {name: 'fun', id: 4}]}
];

davidgilbertson

class MyWindowPortal extends React.PureComponent {
  constructor(props) {
    super(props);
    // STEP 1: create a container <div>
    this.containerEl = document.createElement('div');
    this.externalWindow = null;
  }
  
  render() {
    // STEP 2: append props.children to the container <div> that isn't mounted anywhere yet

velocity-360

// don't forget google maps import:
// <script src="https://maps.googleapis.com/maps/api/js?key=AIzaSyC44mPpaMNvENXryYjHBHzjST1UMnYlARk"></script>

import React, { Component } from 'react'
import { withGoogleMap, GoogleMap, Marker } from 'react-google-maps'

class Map extends Component {

	constructor(){
		super()

s7nio

Web Crawling: Data Scraping vs. Data Crawling

• https://www.promptcloud.com/data-scraping-vs-data-crawling/
• https://www.mkyong.com/java/jsoup-basic-web-crawler-example/

HTML parsers: https://en.wikipedia.org/wiki/Comparison_of_HTML_parsers

• crawler4j : popular web crawler - https://github.com/yasserg/crawler4j
• jSoup : java HTML parser - https://jsoup.org/
• Jaunt : java web scraping & JSON querying - http://jaunt-api.com/

gkjohnson

// Extracting more detailed GPU information in a browser.
// NOTE: This won't work with some privacy settings enabled
// and has only been tested with the following return values

// Could be used to guess at a GPUs power using existing benchmarks here:
// https://www.videocardbenchmark.net/GPU_mega_page.html
// https://www.techpowerup.com/gpu-specs/
// http://codeflow.org/entries/2016/feb/10/webgl_debug_renderer_info-extension-survey-results/
// http://www.gpuzoo.com/
// https://docs.google.com/spreadsheets/d/1wGRZ-5sl7G9DhIgwW36g2KnrwVfZqBW7GDKHOd2vbaM/edit#gid=0

learncodeacademy

Start Training!...Here's the data, we'll do 2 iterations:
[ { input: [ 0, 1 ], output: [ 1, 0 ] },
  { input: [ 1, 1 ], output: [ 1, 1 ] } ]
======== TRAINING ITERATION 1 =========
--------- Run input set 0: 0,1 ----------
-> Layer 2 has 3 nodes
   START NODE: 0
   -> bias for node 0: 0.13861538469791412
   -> weights for node 0:
     -> input value: 0, weight: -0.03485306352376938

parcmepperman

import numpy as np
import re
import itertools
from collections import Counter


def clean_str(string):
    """
    Tokenization/string cleaning for all datasets except for SST.
    Original taken from https://github.com/yoonkim/CNN_sentence/blob/master/process_data.py