Thilo Huellmann thilohuellmann

100 Days Of ML Code - Example Log

Use this as a base template. Create your own repository on GitHub and start logging your work daily!

Day 0: February 29, 2016 (Example 1)

(delete me or comment me out)

Today's Progress: Fixed CSS, worked on canvas functionality for the app.

Thoughts: I really struggled with CSS, but, overall, I feel like I am slowly getting better at it. Canvas is still new for me, but I managed to figure out some basic functionality.

	import requests
	import json
	import csv
	from tqdm import *

	import requests
	import json
	import csv
	from tqdm import *

	import requests
	import json
	import csv
	from tqdm import *

	def addresses_from_csv(path=None, column=None):

	addresses = []

	with open(path, 'r') as f:
	reader = csv.reader(f)
	for row in reader:
	addresses.append(row[column])

	return addresses

	# Get addresses from CSV
	addresses = addresses_from_csv(path='path/to/your/file.csv', column=0)

	# Set Google Maps API key
	api_key = YOUR_API_KEY

	# Initialize array for transformed addresses
	transformed = []
	transformed.append(['Country', 'Post code', 'City', 'Street & No'])

	for query in tqdm(addresses):

	# API call, storing information as JSON
	url = 'https://maps.googleapis.com/maps/api/geocode/json?address=' + query + '&lang=en&key=' + api_key
	r = requests.get(url)
	data = r.json()

	# clear all values to avoid appending values from previous iterations a second time
	number = street = country = postal_code = city = ''

	{
	"results" : [
	{
	"address_components" : [
	{
	"long_name" : "221B",
	"short_name" : "221B",
	"types" : [ "street_number" ]
	},
	{

	with open('transformed_addresses.csv', 'w', newline='', encoding='utf-8') as f:
	writer = csv.writer(f)
	for row in transformed:
	writer.writerow(row)