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Jitse-Jan jitsejan

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@jitsejan
jitsejan / index.html
Created September 1, 2017 08:44
Font Awesome select boxes
<head>
<script type="text/javascript" src="https://code.jquery.com/jquery-3.2.1.min.js"></script>
<script type="text/javascript" src="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/js/bootstrap.min.js"></script>
<script type="text/javascript" src="script.js"></script>
<link rel="stylesheet" type="text/css" href="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="https://netdna.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.css">
<link rel="stylesheet" type="text/css" href="style.css">
</head>
<body>
<div class="container">
@jitsejan
jitsejan / data.csv
Created September 1, 2017 08:47
Sequence diagram
_time sender receiver message
2017-05-12 01:00 Mario World 1 Start world 1
2017-05-12 01:30 Mario World 1-1 Move to World 1-1
2017-05-12 02:00 World 1-1 Mario Received Mushroom
2017-05-12 02:30 Mario World 1-2 Move to World 1-2
2017-05-12 03:00 World 1-2 Mario Received Fire flower
2017-05-12 03:30 Mario World 1-3 Move to World 1-3
2017-05-12 04:00 World 1-3 Mario Received Warp Whistle
2017-05-12 04:30 Mario World 1-4 Move to World 1-4
2017-05-12 05:00 World 1-4 Mario Received One-up
@jitsejan
jitsejan / data.json
Created September 1, 2017 08:48
Grouped bar chart
[
{
"Date": "2017-04-28",
"DRK": "0.01136728",
"BTC": 0,
"LTC": 0
},
{
"Date": "2017-04-29",
"DRK": "0.01008568",
@jitsejan
jitsejan / data.json
Created September 1, 2017 08:50
Multi line chart
[
{
"Time": "2017-05-03 23:17",
"BTC": 19.7,
"DOGE": 0,
"ETH": 78.88,
"LTC": 20.81,
"REP": 0
},
{
@jitsejan
jitsejan / canadastop100.json
Created October 12, 2017 06:51
[{"name":"3M Canada Company","Community Involvement":10,"Employee Engagement & Performance":7,"Financial Benefits & Compensation":9,"Health & Family-Friendly Benefits":9,"Physical Workplace":10,"Training & Skills Development":9,"Vacation & Personal Time-Off":6,"Work Atmosphere & Communications":10,"Total Score":70},{"name":"Aboriginal Peoples Television Network Inc. \/ APTN","Community Involvement":9,"Employee Engagement & Performance":6,"Financial Benefits & Compensation":7,"Health & Family-Friendly Benefits":9,"Physical Workplace":7,"Training & Skills Development":9,"Vacation & Personal Time-Off":9,"Work Atmosphere & Communications":9,"Total Score":65},{"name":"Accenture Inc.","Community Involvement":10,"Employee Engagement & Performance":9,"Financial Benefits & Compensation":7,"Health & Family-Friendly Benefits":9,"Physical Workplace":7,"Training & Skills Development":7,"Vacation & Personal Time-Off":6,"Work Atmosphere & Communications":9,"Total Score":64},{"name":"Agrium Inc.","Community Involvement":10,"
@jitsejan
jitsejan / main.py
Created May 8, 2018 16:13
Splunk dependency checker
""" main.py """
from argparse import ArgumentParser
from lxml import etree as ET
import getpass
import glob
import os
import re
import requests
from requests.auth import HTTPBasicAuth
from requests.packages.urllib3.exceptions import InsecureRequestWarning
@jitsejan
jitsejan / retrieve.bash
Created May 28, 2018 02:52
Loop through the years, start a screen and call the Python script.
for ((i=1998;i<=2019;i++));
do
screen -dmS $i bash -c 'source activate my-env; python retrieval.py '$i'; exec bash'
done
@jitsejan
jitsejan / scraper-docker-compose.yml
Created June 5, 2018 16:31
version: '3.2'
services:
scraper:
build:
context: .
dockerfile: ./Dockerfile
command: scrapy crawl insolvencydirect
environment:
- HUB_PORT_4444_TCP_ADDR=hub
- HUB_PORT_4444_TCP_PORT=4444
@jitsejan
jitsejan / main.py
Last active February 13, 2024 12:54
Azure Table Storage Pandas Dataframe
import pandas as pd
from azure.cosmosdb.table.tableservice import TableService
CONNECTION_STRING = "DUMMYSTRING"
SOURCE_TABLE = "DUMMYTABLE"
def set_table_service():
""" Set the Azure Table Storage service """
return TableService(connection_string=CONNECTION_STRING)
@jitsejan
jitsejan / _write_dataframe_to_csv_on_s3.py
Last active February 13, 2024 12:53
Write a Pandas dataframe to CSV format on AWS S3.
import boto3
from io import StringIO
def _write_dataframe_to_csv_on_s3(dataframe, filename):
""" Write a dataframe to a CSV on S3 """
print("Writing {} records to {}".format(len(dataframe), filename))
# Create buffer
csv_buffer = StringIO()
# Write dataframe to buffer
dataframe.to_csv(csv_buffer, sep="|", index=False)