pbindustries

/* Check for Node.js */
  var IS_NODE = false;
  if (typeof exports !== 'undefined') {
    if (typeof module !== 'undefined' && module.exports) {
      IS_NODE = true;
      // Get dependencies
      request = require("request");
      jQuery = require("cheerio");
      $ = require("cheerio");
      _ = require("underscore");

pbindustries

#!/usr/bin/python3

"""
DESCRIPTION
    Simple python script to import a csv into ElasticSearch. It can also update existing Elastic data if
    only parameter --id-column is provided
HOW IT WORKS
    The script creates an ElasticSearch API PUT request for
    each row in your CSV. It is similar to running an bulk insert by:
    $ curl -XPUT localhost:9200/_bulk -d '{index: "", type: ""}

pbindustries

es = Elasticsearch(
    ['localhost'],
    port=9200
)
es = Elasticsearch(ES_CLUSTER)
with open("C:\ElasticSearch\shakespeare_6.0.json") as json_file:
    json_docs = json.load(json_file)
es.bulk(ES_INDEX, ES_TYPE, json_docs)

pbindustries

import json

import csv

employee_parsed = json.loads(employee_data)

emp_data = employee_parsed['employee_details']

# open a file for writing

pbindustries

from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
from urllib.request import urlretrieve
import os
import tkinter.filedialog as tkFileDialog
import tkinter as Tkinter
import tkinter.constants as Tkconstants

pbindustries

from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as ec
from selenium.webdriver.common.by import By
from bs4 import BeautifulSoup
from urllib.request import urlretrieve
import os
import tkinter.filedialog as tkFileDialog
import tkinter as Tkinter
import tkinter.constants as Tkconstants

pbindustries

"scripts": {
        "jshint:dist": "jshint src/js/*.js",
        "jshint": "npm run jshint:dist",
        "jscs": "jscs src/*.js",
        "browserify": "browserify -s Validating -o ./dist/js/build.js ./lib/index.js",
        "browsersync": "browser-sync start --server --files 'src/*'",
        "uglify:dist": "uglify src/js/**/*.js > dist/js/script.min.js",
        "uglify": "npm run uglify:dist",
        "test": "mocha",
        "clean:dist": "rm -rf dist",

pbindustries

import csv, json, sys
#if you are not using utf-8 files, remove the next line
sys.setdefaultencoding("UTF-8") #set the encode to utf8
#check if you pass the input file and output file
if sys.argv[1] is not None and sys.argv[2] is not None:
    fileInput = sys.argv[1]
    fileOutput = sys.argv[2]
    inputFile = open(fileInput) #open json file
    outputFile = open(fileOutput, 'w') #load csv file
    data = json.load(inputFile) #load json content

pbindustries

#!/bin/bash
# my testing was done with LXD/LXC so I had to set this on my hypervisor
# sysctl -w vm.max_map_count=262144

# set elasticsearch cluster name:
ES_CLUSTER_NAME="myescluster"

# set elasticsearch nodes ip/dns that will be part of the elasticsearch cluster
ES_NODES='["10.0.0.2", "10.0.0.3"]'

pbindustries

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.