Todd Birchard toddbirchard

## image_optimize.py
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 = []

## animated-terminal-session.markdown

      
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                toddbirchard
                / animated-terminal-session.markdown
            
            
              Created
              March 13, 2019 12:55
            
              
                Animated Terminal Session For Linkbox API
              
          
    Animated Terminal Session

Animated terminal session with scriptable output.
A Pen by Todd Birchard on CodePen.
License.

  
## boto3_optimize_cdn.py
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.

## main.py
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

## fake.csv
id,initiated,hiredate,email,firstname,lastname,title,department,location,country,type
100035435,2015-12-11T09:16:20.722-08:00,3/22/67,GretchenRMorrow@jourrapide.com,Gretchen,Morrow,Power plant operator,Physical Product,Britling Cafeterias,United Kingdom,Employee
100056435,2015-12-15T10:11:24.604-08:00,6/22/99,ElizabethLSnow@armyspy.com,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,AlbertMPeterson@einrot.com,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,JohnMLynch@dayrep.com,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,TheresaJCahoon@teleworm.us,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

## json_extract.py
"""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):

## pwning_tableau.py
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."""

## .hyper.js
// 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',

## atom_preferences.json
"*":
  "activate-power-mode":
    comboMode: {}
    particles:
      colours:
        type: "random"
      size:
        max: 10
      spawnCount:
        max: 21
	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 = []
	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.
	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
	id,initiated,hiredate,email,firstname,lastname,title,department,location,country,type
	100035435,2015-12-11T09:16:20.722-08:00,3/22/67,GretchenRMorrow@jourrapide.com,Gretchen,Morrow,Power plant operator,Physical Product,Britling Cafeterias,United Kingdom,Employee
	100056435,2015-12-15T10:11:24.604-08:00,6/22/99,ElizabethLSnow@armyspy.com,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,AlbertMPeterson@einrot.com,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,JohnMLynch@dayrep.com,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,TheresaJCahoon@teleworm.us,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
	"""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):
	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."""
	// 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',
	"*":
	"activate-power-mode":
	comboMode: {}
	particles:
	colours:
	type: "random"
	size:
	max: 10
	spawnCount:
	max: 21