mikeyford

import pandas as pd
import numpy as np

from sklearn.dummy import DummyClassifier


def load_data():
    custs = pd.read_csv('customers.csv', # result of SELECT * FROM "default_server_production_events"."customers_data"
                        usecols=['registration_id',
                                 'user_gender_cd',

mikeyford

### Keybase proof

I hereby claim:

  * I am mikeyford on github.
  * I am mikeyford (https://keybase.io/mikeyford) on keybase.
  * I have a public key ASC83JzRo95xCh4Z6j2JMNY0oJ66RuFu6agsuF_3Ydwgmgo

To claim this, I am signing this object:

mikeyford

Keybase proof

I hereby claim:

• I am mikeyford on github.
• I am mikeyford (https://keybase.io/mikeyford) on keybase.
• I have a public key ASBzbxnSaXQleyVzZYPiTbpnRuwNjVPaW38xGiKKr48S3Ao

To claim this, I am signing this object:

mikeyford

git reset --soft HEAD~17  (e.g. for n = 17)
git commit -m "squashed commits"
git push origin branch-name --force

mikeyford

library(httr)
library(jsonlite)
library(tools)
library(iotools)


# Post for auth token
body <- list(username = "user.name@organisation.com", password = "ABCD1234")   # update username and password
response <- POST("https://api.witanforcities.com/api/login", accept_json(), content_type_json(), body = body, encode = "json")
content <- fromJSON(readBin(response$content, character()))

mikeyford

import http.client
import json
import math

connection = http.client.HTTPConnection('api.football-data.org')
connection.request('GET', '/alpha/soccerseasons/354/fixtures') #An API token will needed as a header here for frequent use. See the rextester version below and the football-data sitefor more info.
data = json.loads(connection.getresponse().read().decode())
fixtures = (data["fixtures"])

matchday = False