jpotts18

Benefits

• Configuration is not in code
• Easily deploy of crud apps
• Easy scaling
• Easily addons
• Enforces scalable architecture

Drawbacks

jpotts18

Format

• Github Wiki
• Markdown

What it is? Why its important? When is it used? - In the wild How to implement it? - Single file demo

• Data Structures - http://www.amazon.com/Cracking-Coding-Interview-Programming-Questions/dp/098478280X - Byron

jpotts18

###########################
# Identify the question
###########################
Identify the question you are trying to solve

# Which car is the most undervalued?
# Are we trying to maximize or minimize a variable?

###########################
# Understand the data

jpotts18

class PizzaFactory
  
  def self.create_pizza(type)
    if type == 'Pepperoni'
      return PepperoniPizza.new
    if type == 'Greek'
      return GreekPizza.new
    end
  end
  

jpotts18

package com.verdad.core;

import android.content.Context;

import com.google.gson.FieldNamingPolicy;
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;

import java.util.HashMap;
import java.util.Map;

jpotts18

import json, urllib2, re, csv
import xml.etree.ElementTree as ET

patterns = {
	'YEAR': re.compile('(19|20)\d{2}'),
	'ZIP': re.compile('(\d{5})'),
	'MILES': re.compile('\d+,?(\d|X|k)+\smiles')
}

occurrences = {

jpotts18

class MorningAlgorithm
  
  # This method is used to encapsulate the algorithm's general process.
  # Notice this method is not concerned how the methods are accomplished
  def execute
    wake_up
    workout
    eat_breakfast
    drive_to_work
  end

jpotts18

# This gist is a continuation of a previous gist which defines the MorningAlgorithm class
# https://gist.github.com/jpotts18/1f4269c9e1f22c963a0d

class LateMorningAlgorith < MorningAlgorithm
  
  def work_out
    puts "Nope..."
  end
  
  def eat_breakfast

jpotts18

class WebScraper

  def execute
    create_folders
    download_data
    parse_data
    write_output
  end
  
  def create_folder

jpotts18

import uuid, random, json

# json.dumps(x, indent=4)

product_range = range(100000,110000)
num_recs_per_type = 20
num_users = 500000
user_ids = [ str(uuid.uuid1()) for _ in range(num_users) ]
rec_types = ['by_x','by_y','by_z']