Jinwook Baek kokospapa8

## django model cache base
from django.core.cache import cache, caches
from django.conf import settings
from django.db.models.query import QuerySet

DEFAULT_CACHE_ALIAS = 'default'


def _get_cache(cache_alias):
    # did this because debug toolbar does not track caches when not using just cache.
    # So, caches["default"] is not tracked

## LogsToBQLambda
import os
import json
import zlib
from base64 import b64decode

from google.cloud import bigquery
from google.oauth2 import service_account

TABLE_NAME = "<project_id>.<dataset>.<table-name>"

## .vimrc

set hls ic is nu noswf

set hlsearch " 모든 검색결과 하이라이트
set ignorecase " 대소문자 무시하고 검색
set incsearch " 타이핑할 때마다 검색 결과 표시
set number " 줄번호 표시
set noswapfile " 스왑파일 사용안함

set smartcase

## file_load_to_bq.py
# Load BigQuery from the Python GCP Library
from google.cloud import bigquery
# Load a performance timer (optional or comment out)
from timeit import default_timer as timer
# Specify your fully-qualified table name as you would in the UI
import_table = 'YOUR-DATASET.bortdata.bookdata'
# Choose the GCS bucket and file, or override it with a full gs:// URI
gcs_bucket = 'YOUR-BUCKET'
gcs_file = 'book-data.csv'
# gs://mybucket/book-data.csv OR local file ./book-data.csv

## gist:2c308a76b7565e55ec17f194fceba153


<!DOCTYPE html>
<html>
<!--
Copyright 2016 Google Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0

## GSP330.txt
Task1
# SSH into jumphost
cd /work/sample-app
gcloud config set compute/zone us-east1-d
gcloud container clusters get-credentials jenkins-cd --zone us-east1-b
kubectl create ns production
kubectl apply -f k8s/production -n production
kubectl apply -f k8s/canary -n production
kubectl apply -f k8s/services -n production

## GSP327 solutions
1)
```
 CREATE OR REPLACE TABLE taxirides.taxi_training_data (
  `pickup_datetime` TIMESTAMP,
  `pickuplon` FLOAT64,
  `pickuplat` FLOAT64,
  `dropofflon` FLOAT64,
  `dropofflat` FLOAT64,
  `passengers` FLOAT64,
  `fare_amount` FLOAT64

## analyze_text.py
# https://google.qwiklabs.com/focuses/12704?parent=catalog
# Dataset: image_classification_dataset
# Table name: image_text_detail
import os
import sys

# Import Google Cloud Library modules
from google.cloud import storage, bigquery, language, vision, translate_v2

if ('GOOGLE_APPLICATION_CREDENTIALS' in os.environ):

## notion2blog.js
const MY_DOMAIN = "agodrich.com"
const START_PAGE = "https://www.notion.so/gatsby-starter-notion-2c5e3d685aa341088d4cd8daca52fcc2"
const DISQUS_SHORTNAME = "agodrich"

addEventListener('fetch', event => {
  event.respondWith(fetchAndApply(event.request))
})

const corsHeaders = {
  "Access-Control-Allow-Origin": "*",

## docker cheatsheet
# Get a local Shell of container
      docker run -i -t --entrypoint /bin/bash imageID
# Create image using this directory's Dockerfile
      docker build -t friendlyname .
# Run "friendlyname" mapping port 4000 to 80
      docker run -p 4000:80 friendlyname
# Same thing, but in detached mode
      docker run -d -p 4000:80 friendlyname
# See a list of all running containers
     docker ps
	from django.core.cache import cache, caches
	from django.conf import settings
	from django.db.models.query import QuerySet

	DEFAULT_CACHE_ALIAS = 'default'


	def _get_cache(cache_alias):
	# did this because debug toolbar does not track caches when not using just cache.
	# So, caches["default"] is not tracked
	import os
	import json
	import zlib
	from base64 import b64decode

	from google.cloud import bigquery
	from google.oauth2 import service_account

	TABLE_NAME = "<project_id>.<dataset>.<table-name>"

	set hls ic is nu noswf

	set hlsearch " 모든 검색결과 하이라이트
	set ignorecase " 대소문자 무시하고 검색
	set incsearch " 타이핑할 때마다 검색 결과 표시
	set number " 줄번호 표시
	set noswapfile " 스왑파일 사용안함

	set smartcase
	# Load BigQuery from the Python GCP Library
	from google.cloud import bigquery
	# Load a performance timer (optional or comment out)
	from timeit import default_timer as timer
	# Specify your fully-qualified table name as you would in the UI
	import_table = 'YOUR-DATASET.bortdata.bookdata'
	# Choose the GCS bucket and file, or override it with a full gs:// URI
	gcs_bucket = 'YOUR-BUCKET'
	gcs_file = 'book-data.csv'
	# gs://mybucket/book-data.csv OR local file ./book-data.csv


	<!DOCTYPE html>
	<html>
	<!--
	Copyright 2016 Google Inc.
	Licensed under the Apache License, Version 2.0 (the "License");
	you may not use this file except in compliance with the License.
	You may obtain a copy of the License at
	http://www.apache.org/licenses/LICENSE-2.0
	Task1
	# SSH into jumphost
	cd /work/sample-app
	gcloud config set compute/zone us-east1-d
	gcloud container clusters get-credentials jenkins-cd --zone us-east1-b
	kubectl create ns production
	kubectl apply -f k8s/production -n production
	kubectl apply -f k8s/canary -n production
	kubectl apply -f k8s/services -n production
	1)
	```
	CREATE OR REPLACE TABLE taxirides.taxi_training_data (
	`pickup_datetime` TIMESTAMP,
	`pickuplon` FLOAT64,
	`pickuplat` FLOAT64,
	`dropofflon` FLOAT64,
	`dropofflat` FLOAT64,
	`passengers` FLOAT64,
	`fare_amount` FLOAT64
	# https://google.qwiklabs.com/focuses/12704?parent=catalog
	# Dataset: image_classification_dataset
	# Table name: image_text_detail
	import os
	import sys

	# Import Google Cloud Library modules
	from google.cloud import storage, bigquery, language, vision, translate_v2

	if ('GOOGLE_APPLICATION_CREDENTIALS' in os.environ):
	const MY_DOMAIN = "agodrich.com"
	const START_PAGE = "https://www.notion.so/gatsby-starter-notion-2c5e3d685aa341088d4cd8daca52fcc2"
	const DISQUS_SHORTNAME = "agodrich"

	addEventListener('fetch', event => {
	event.respondWith(fetchAndApply(event.request))
	})

	const corsHeaders = {
	"Access-Control-Allow-Origin": "*",
	# Get a local Shell of container
	docker run -i -t --entrypoint /bin/bash imageID
	# Create image using this directory's Dockerfile
	docker build -t friendlyname .
	# Run "friendlyname" mapping port 4000 to 80
	docker run -p 4000:80 friendlyname
	# Same thing, but in detached mode
	docker run -d -p 4000:80 friendlyname
	# See a list of all running containers
	docker ps