Nikesh Shrestha owstron

## cs166_8-1.ipynb

      
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                owstron
                / cs166_8-1.ipynb
            
            
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              March 4, 2019 15:17
            
              
                CS166_8-1.ipynb
              
          
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## cs166-6-2-dynamics_network-voter_model.py
import matplotlib
matplotlib.use('TkAgg')
from pylab import *
import networkx as nx
import random as rd

def initialize():
    global g, num_steps
    g = nx.karate_club_graph()
    g.pos = nx.spring_layout(g)

## 4-2-traffic_simulation.ipynb

      
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                owstron
                / 4-2-traffic_simulation.ipynb
            
            
              Created
              February 11, 2019 15:59
            
              
                4-2 Traffic_Simulation.ipynb
              
          
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## ca-forestfire.py


import matplotlib
matplotlib.use('TkAgg')

import pylab as PL
import random as RD
import scipy as SP
import numpy as NP

## cs162-13_1-tests-docker.py
import requests as r
import sys
from datetime import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine, Column, Integer, String, DateTime, Numeric
from sqlalchemy.orm import sessionmaker

#bash
'''
docker swarm init

## cs112-casual-inference-assignment.R
rm(list=ls())


library('Matching')
library('MASS')
library('quantreg')

nswre74_control <- read.table("nswre74_control.txt")
nswre74_treated <- read.table("nswre74_treated.txt")

## CS112-8-2-q1-t-test.R
# know your working directory:
getwd()

####### PART 1: Get the 2 RCT data sets...
# website with data is here: http://users.nber.org/~rdehejia/data/nswdata2.html

### For the original Lalonde data
# STEP 1: Download the two text files, nsw_control.txt and nsw_treated.txt

# STEP 2: Ensure that they are in R's working directory

## index.html
<!DOCTYPE html>
<html>
  <head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    <title>Made with Thimble</title>
    <link rel="stylesheet" href="style.css">
  </head>
  <body>
    <h1>Kanban Board</h1>

## lalonde-3-ways.R
library('Matching')
library(boot)
library(arm)
library(randomForest)
data(lalonde)

attach(lalonde)

# Normalizing the real earnings by dividing by 1000 dollars.
lalonde$re75 = lalonde$re75 / 1000

## edited-bankloans.sql
.mode column

CREATE TABLE Clients (
    CLIENTNUMBER INT,
    FIRSTNAME VARCHAR(20),
    SURNAME VARCHAR(20),
    EMAIL VARCHAR(100),
    PHONE VARCHAR(20)

);
	import matplotlib
	matplotlib.use('TkAgg')
	from pylab import *
	import networkx as nx
	import random as rd

	def initialize():
	global g, num_steps
	g = nx.karate_club_graph()
	g.pos = nx.spring_layout(g)


	import matplotlib
	matplotlib.use('TkAgg')

	import pylab as PL
	import random as RD
	import scipy as SP
	import numpy as NP
	import requests as r
	import sys
	from datetime import datetime
	from sqlalchemy.ext.declarative import declarative_base
	from sqlalchemy import create_engine, Column, Integer, String, DateTime, Numeric
	from sqlalchemy.orm import sessionmaker

	#bash
	'''
	docker swarm init
	rm(list=ls())


	library('Matching')
	library('MASS')
	library('quantreg')

	nswre74_control <- read.table("nswre74_control.txt")
	nswre74_treated <- read.table("nswre74_treated.txt")
	# know your working directory:
	getwd()

	####### PART 1: Get the 2 RCT data sets...
	# website with data is here: http://users.nber.org/~rdehejia/data/nswdata2.html

	### For the original Lalonde data
	# STEP 1: Download the two text files, nsw_control.txt and nsw_treated.txt

	# STEP 2: Ensure that they are in R's working directory
	<!DOCTYPE html>
	<html>
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title>Made with Thimble</title>
	<link rel="stylesheet" href="style.css">
	</head>
	<body>
	<h1>Kanban Board</h1>
	library('Matching')
	library(boot)
	library(arm)
	library(randomForest)
	data(lalonde)

	attach(lalonde)

	# Normalizing the real earnings by dividing by 1000 dollars.
	lalonde$re75 = lalonde$re75 / 1000
	.mode column

	CREATE TABLE Clients (
	CLIENTNUMBER INT,
	FIRSTNAME VARCHAR(20),
	SURNAME VARCHAR(20),
	EMAIL VARCHAR(100),
	PHONE VARCHAR(20)

	);