mdivk

#credit to mholtzscher: https://gist.github.com/mholtzscher/9648cfd27769d1df6a6ed855fdd7bd7a
from airflow.models import DAG
from airflow.operators.email_operator import EmailOperator
from airflow.operators.python_operator import PythonOperator
from datetime import datetime
from tempfile import NamedTemporaryFile


dag = DAG(
    "email_example",

mdivk

"""
Python script for batch geocoding of addresses using the Google Geocoding API.
This script allows for massive lists of addresses to be geocoded for free by pausing when the 
geocoder hits the free rate limit set by Google (2500 per day).  If you have an API key for paid
geocoding from Google, set it in the API key section.
Addresses for geocoding can be specified in a list of strings "addresses". In this script, addresses
come from a csv file with a column "Address". Adjust the code to your own requirements as needed.
After every 500 successul geocode operations, a temporary file with results is recorded in case of 
script failure / loss of connection later.
Addresses and data are held in memory, so this script may need to be adjusted to process files line

mdivk

Credit Card Fraud Detection

This interactive Neo4j graph tutorial covers a common credit card fraud detection scenario.

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