toddbirchard

"*":
  "activate-power-mode":
    comboMode: {}
    particles:
      colours:
        type: "random"
      size:
        max: 10
      spawnCount:
        max: 21

toddbirchard

// Future versions of Hyper may add additional config options,
// which will not automatically be merged into this file.
// See https://hyper.is#cfg for all currently supported options.

module.exports = {
  config: {
    // choose either `'stable'` for receiving highly polished,
    // or `'canary'` for less polished but more frequent updates
    updateChannel: 'stable',

toddbirchard

import requests
import xml.etree.ElementTree as ET
from . import r
import pandas as pd
import io


class ExtractTableauView:
    """Class for with the Tableau server API."""

toddbirchard

"""Extract nested values from a JSON tree."""


def json_extract(obj, key):
    """Recursively fetch values from nested JSON."""
    arr = []

    def extract(obj, arr, key):
        """Recursively search for values of key in JSON tree."""
        if isinstance(obj, dict):

toddbirchard

id,initiated,hiredate,email,firstname,lastname,title,department,location,country,type
100035435,2015-12-11T09:16:20.722-08:00,3/22/67,[email protected],Gretchen,Morrow,Power plant operator,Physical Product,Britling Cafeterias,United Kingdom,Employee
100056435,2015-12-15T10:11:24.604-08:00,6/22/99,[email protected],Elizabeth,Snow,Oxygen therapist,Physical Product,Grade A Investment,United States of America,Employee
100037955,2015-12-16T14:31:32.765-08:00,5/31/74,[email protected],Albert,Peterson,Psychologist,Physical Product,Grass Roots Yard Services,United States of America,Employee
100035435,2016-01-20T11:15:47.249-08:00,9/9/69,[email protected],John,Lynch,Environmental hydrologist,Physical Product,Waccamaw's Homeplace,United States of America,Employee
100057657,2016-01-21T12:45:38.261-08:00,4/9/83,[email protected],Theresa,Cahoon,Personal chef,Physical Product,Cala Foods,United States of America,Employee
100056747,2016-02-01T11:25:39.317-08:00,6/26/98,KennethHPayn

toddbirchard

from google.cloud import storage
from google.cloud import bigquery
import pprint


bucket_uri = 'gs://your-bucket/'
bucket_name = 'your-bucket'
bucket_target = 'datasets/data_upload.csv'
local_dataset = 'data/test.csv'
bucket_target_uri = bucket_uri + bucket_target

toddbirchard

import os
import json
import boto3
from botocore.client import Config
import botocore
from urllib.parse import unquote
import PIL


# Initialize a session using DigitalOcean Spaces.

toddbirchard

Animated Terminal Session

Animated terminal session with scriptable output.

A Pen by Todd Birchard on CodePen.

License.

toddbirchard

import os
import json
import glob
import PIL
from PIL import Image


def get_all_images():
    """Create an array of PNGs and JPGs."""
    img_arr = []

toddbirchard

import sys
import pymysql
import logging


class Database:
    """Database connection class."""

    def __init__(self, config):
        self.host = config.db_host