RaphaelSmith TutorialDoctor

## sqlalchemy_relationships.py
from sqlalchemy import create_engine,ForeignKey,Column,Date,Integer,String,Boolean
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import relationship,backref,sessionmaker

# Course has many sections
# Section belongs to many courses
# Section has a label
# Label belongs to many sections
# Label belogns to many courses
# Section has a label

## gif_to_pngs
from PIL import Image
from PIL import GifImagePlugin
import os,time,zipfile

imageObject = Image.open("./source.gif")
# info = imageObject.info

for frame in range(0,imageObject.n_frames):
    imageObject.seek(frame)
    #imageObject.info['transparency'] = 255

## video_to_png.py
# This code is not mine:
# https://www.geeksforgeeks.org/extract-images-from-video-in-python/

# pip3 install opencv-python

# Importing all necessary libraries
import cv2
import os

# Read the video from specified path

## vue_vuex.html
<!DOCTYPE html>
<!--[if lt IE 7]>      <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]-->
<!--[if IE 7]>         <html class="no-js lt-ie9 lt-ie8"> <![endif]-->
<!--[if IE 8]>         <html class="no-js lt-ie9"> <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js"> <!--<![endif]-->
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge">
        <title></title>
        <meta name="description" content="">

## summarizer.py
import bs4 as bs
import urllib.request
import re
import nltk

#Install beautifulsoup
#Article this is from:
#https://stackabuse.com/text-summarization-with-nltk-in-python/
#NLTK help:
#https://stackoverflow.com/questions/4867197/failed-loading-english-pickle-with-nltk-data-load

## python_decorator_tutorial.py
# A decorator is a function that takes a function as an argument and adds a bow tie on top of it.
def decorator(func):
	return func
#This "decorator" doesn't really decorate the input function. It just returns the input function.

@decorator
def aFunc():
	print('hello\n')
aFunc()

## edit_distance.py
"""
Problem Statement
=================
Given two strings str1 and str2, find the minimum number of edits (edit one character to another, delete char from str1
or delete char from str2) to change str1 to str2.
Video
-----
* https://youtu.be/We3YDTzNXEk
Analysis
--------

## basic_mongo.py
from pymongo import MongoClient
#pip3 install pymongo

if __name__ == "__main__":
    client = MongoClient()
    db = client.test_database
    people = db.people

    people.insert_one({'name':'Mike','food':'cheese'})
    people.insert_one({'name':'John','food':'ham','location':'UK'})

## student.py
import urllib,pprint
from bs4 import BeautifulSoup

def train(url):
	html=urllib.urlopen(url).read()
	soup = BeautifulSoup(html)
	# kill all script and style elements
	for script in soup(["script", "style"]):
		script.extract()    # rip it out
	text = soup.get_text()

## JavascriptSyntax.js
var intro = "Remove multiline comments to run the code therein"
var __version__ = "0.1"
document.write("Version:" +__version__)

function capitalize(s)
{
    return s[0].toUpperCase() + s.slice(1);
}

function title1(name=""){
	from sqlalchemy import create_engine,ForeignKey,Column,Date,Integer,String,Boolean
	from sqlalchemy.ext.declarative import declarative_base
	from sqlalchemy.orm import relationship,backref,sessionmaker

	# Course has many sections
	# Section belongs to many courses
	# Section has a label
	# Label belongs to many sections
	# Label belogns to many courses
	# Section has a label
	from PIL import Image
	from PIL import GifImagePlugin
	import os,time,zipfile

	imageObject = Image.open("./source.gif")
	# info = imageObject.info

	for frame in range(0,imageObject.n_frames):
	imageObject.seek(frame)
	#imageObject.info['transparency'] = 255
	# This code is not mine:
	# https://www.geeksforgeeks.org/extract-images-from-video-in-python/

	# pip3 install opencv-python

	# Importing all necessary libraries
	import cv2
	import os

	# Read the video from specified path
	<!DOCTYPE html>
	<!--[if lt IE 7]> <html class="no-js lt-ie9 lt-ie8 lt-ie7"> <![endif]-->
	<!--[if IE 7]> <html class="no-js lt-ie9 lt-ie8"> <![endif]-->
	<!--[if IE 8]> <html class="no-js lt-ie9"> <![endif]-->
	<!--[if gt IE 8]><!--> <html class="no-js"> <!--<![endif]-->
	<head>
	<meta charset="utf-8">
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<title></title>
	<meta name="description" content="">
	import bs4 as bs
	import urllib.request
	import re
	import nltk

	#Install beautifulsoup
	#Article this is from:
	#https://stackabuse.com/text-summarization-with-nltk-in-python/
	#NLTK help:
	#https://stackoverflow.com/questions/4867197/failed-loading-english-pickle-with-nltk-data-load
	# A decorator is a function that takes a function as an argument and adds a bow tie on top of it.
	def decorator(func):
	return func
	#This "decorator" doesn't really decorate the input function. It just returns the input function.

	@decorator
	def aFunc():
	print('hello\n')
	aFunc()
	"""
	Problem Statement
	=================
	Given two strings str1 and str2, find the minimum number of edits (edit one character to another, delete char from str1
	or delete char from str2) to change str1 to str2.
	Video
	-----
	* https://youtu.be/We3YDTzNXEk
	Analysis
	--------
	from pymongo import MongoClient
	#pip3 install pymongo

	if __name__ == "__main__":
	client = MongoClient()
	db = client.test_database
	people = db.people

	people.insert_one({'name':'Mike','food':'cheese'})
	people.insert_one({'name':'John','food':'ham','location':'UK'})
	import urllib,pprint
	from bs4 import BeautifulSoup

	def train(url):
	html=urllib.urlopen(url).read()
	soup = BeautifulSoup(html)
	# kill all script and style elements
	for script in soup(["script", "style"]):
	script.extract() # rip it out
	text = soup.get_text()
	var intro = "Remove multiline comments to run the code therein"
	var __version__ = "0.1"
	document.write("Version:" +__version__)

	function capitalize(s)
	{
	return s[0].toUpperCase() + s.slice(1);
	}

	function title1(name=""){