Vytautas Bielinskas vb100

## FaceDetection.py
import cv2

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

img=cv2.imread("news.jpg")

gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray_img, scaleFactor=1.1,minNeighbors=5)

## StockAnalysis.py
from pandas_datareader import data
import datetime
from bokeh.plotting import figure, show, output_file
x
start = datetime.datetime(2016,11,1)
end = datetime.datetime(2017,2,10)
df = data.DataReader(name="GOOG", data_source="google", start=start, end=end)

#date_increase = df.index[df.Close > df.Open]
#date_decrease = df.index[df.Close < df.Open]

## ParseDataFromWebsiteWithPagination.py
import requests
from bs4 import BeautifulSoup as bc

l =[] #List
base_url = "http://www.pythonhow.com/real-estate/rock-springs-wy/LCWYROCKSPRINGS/"

r = requests.get(base_url)
c = r.content
soup = bc(c, "html.parser")

## CaptureVideoFromCamera.py
import cv2, time

#1. Create an object. Zero for external camera
video=cv2.VideoCapture(0)

#7. Play the video (Indenting)

#8. a variable
a=0

## BatchResizeImages.py
import cv2, glob #glob module - find path names of files

#1. Create a list of files that has extension of JPG
images=glob.glob("*.jpg")

for image in images:
	#Read images path
	img=cv2.imread(image,1)

	#Create a variable where we will store resized image

## TkinterFrontend.py
from tkinter import *
import backend

def get_selected_row(event):
    global selected_tuple
    index=list1.curselection()[0]
    selected_tuple=list1.get(index)
    e1.delete(0,END)
    e1.insert(END,selected_tuple[1])
    e2.delete(0,END)

## DataVisualizationWeather.py
import pandas

from bokeh.plotting import figure, output_file, show

df=pandas.read_excel("http://pythonhow.com/verlegenhuken.xlsx",sheetname=0)
df["Temperature"]=df["Temperature"]/10
df["Pressure"]=df["Pressure"]/10

p=figure(plot_width=500,plot_height=400)

## WebsiteBlocker.py
import time
from datetime import datetime as dt

#Host to temporary file
host_temp="hosts"
#Host to original path file
hosts_path=r"C:\Windows\System32\drivers\etc\hosts"

redirect="127.0.0.1"
website_list=["www.facebook.com", "facebook.com"]

## MapVolcanoesUSAData.py
import folium, pandas

df=pandas.read_csv("Volcanoes_USA.txt")

map=folium.Map(location=[df['LAT'].mean(),df['LON'].mean()],zoom_start=6, tiles='Mapbox bright')

def color(elev):
    minimum=int(min(df['ELEV']))
    step=int((max(df['ELEV'])-min(df['ELEV']))/3)
    if elev in range(minimum,minimum+step):

## OpenStreetMapAPIFindLotLat.py
import pandas, os

os.listdir()

df1=pandas.read_csv('supermarkets.csv')

import geopy
dir(geopy)

from geopy.geocoders import Nominatim
	import cv2

	face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

	img=cv2.imread("news.jpg")

	gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

	faces = face_cascade.detectMultiScale(gray_img, scaleFactor=1.1,minNeighbors=5)
	from pandas_datareader import data
	import datetime
	from bokeh.plotting import figure, show, output_file
	x
	start = datetime.datetime(2016,11,1)
	end = datetime.datetime(2017,2,10)
	df = data.DataReader(name="GOOG", data_source="google", start=start, end=end)

	#date_increase = df.index[df.Close > df.Open]
	#date_decrease = df.index[df.Close < df.Open]
	import requests
	from bs4 import BeautifulSoup as bc

	l =[] #List
	base_url = "http://www.pythonhow.com/real-estate/rock-springs-wy/LCWYROCKSPRINGS/"

	r = requests.get(base_url)
	c = r.content
	soup = bc(c, "html.parser")
	import cv2, time

	#1. Create an object. Zero for external camera
	video=cv2.VideoCapture(0)

	#7. Play the video (Indenting)

	#8. a variable
	a=0
	import cv2, glob #glob module - find path names of files

	#1. Create a list of files that has extension of JPG
	images=glob.glob("*.jpg")

	for image in images:
	#Read images path
	img=cv2.imread(image,1)

	#Create a variable where we will store resized image
	from tkinter import *
	import backend

	def get_selected_row(event):
	global selected_tuple
	index=list1.curselection()[0]
	selected_tuple=list1.get(index)
	e1.delete(0,END)
	e1.insert(END,selected_tuple[1])
	e2.delete(0,END)
	import pandas

	from bokeh.plotting import figure, output_file, show

	df=pandas.read_excel("http://pythonhow.com/verlegenhuken.xlsx",sheetname=0)
	df["Temperature"]=df["Temperature"]/10
	df["Pressure"]=df["Pressure"]/10

	p=figure(plot_width=500,plot_height=400)
	import time
	from datetime import datetime as dt

	#Host to temporary file
	host_temp="hosts"
	#Host to original path file
	hosts_path=r"C:\Windows\System32\drivers\etc\hosts"

	redirect="127.0.0.1"
	website_list=["www.facebook.com", "facebook.com"]
	import folium, pandas

	df=pandas.read_csv("Volcanoes_USA.txt")

	map=folium.Map(location=[df['LAT'].mean(),df['LON'].mean()],zoom_start=6, tiles='Mapbox bright')

	def color(elev):
	minimum=int(min(df['ELEV']))
	step=int((max(df['ELEV'])-min(df['ELEV']))/3)
	if elev in range(minimum,minimum+step):
	import pandas, os

	os.listdir()

	df1=pandas.read_csv('supermarkets.csv')

	import geopy
	dir(geopy)

	from geopy.geocoders import Nominatim