tomncooper

#!/usr/bin/env bash

kubectl -n ksqldb run ksqldb-cli-$1 -ti \
    --image=confluentinc/ksqldb-cli:0.8.1 \
    --rm=true --restart=Never \
    -- /usr/bin/ksql http://ksqldb-server:8088

tomncooper

Keybase proof

I hereby claim:

• I am tomncooper on github.
• I am tomcooper (https://keybase.io/tomcooper) on keybase.
• I have a public key ASAeVdDQ9R_c4VRJ-ygCRTMtxvy19Dri7Ulqz-Iu0J2glwo

To claim this, I am signing this object:

tomncooper

import json
import os

import datetime as dt

from urllib.request import urlopen
from csv import DictWriter
from argparse import ArgumentParser

tomncooper

""" Methods for scraping product information from the tesco website.
You will need to install requests, beautifulsoup4, lxml and pandas libraries

$ pip install requests beautifulsoup4 lxml pandas
"""
from typing import List, Optional

import requests

import pandas as pd

tomncooper

import csv
from gremlin_python.process.graph_traversal import out, has

def find_all_paths(gremlin_client, source_comp, sink_comp):

    source_vertices = (gremlin_client.graph_traversal.V()
                                     .hasLabel("instance")
                                     .has("component", source_comp).toList())

    sink_task_ids = (gremlin_client.graph_traversal.V()

tomncooper

import sys

from tests.local.graph_connect import graph_client

g = graph_client.graph_traversal

parallelism = int(sys.argv[1])

components = {"Sp" : parallelism, "A" : parallelism, "B" : parallelism,
              "C" : parallelism}

tomncooper

library(tidyr)

# User data dataframe
user.foods = rbind("milk", "apples", "bread", "ice cream", "boxed fruits")
ID = rbind(1, 2, 3, 4, 5)
user.data = cbind(ID, user.foods)
colnames(user.data) = c("ID", "User.Food")
user.data = as.data.frame(user.data)

# Food Groups dataframe

tomncooper

class after5(object):

    def __init__(self, func):
        self.func = func
        self.counter = 0

    def __call__(self):

        if self.counter > 4:
            self.func()