vagdevik

References

• have fun with them
• projections
• filters
• resource-keys
• scripting-gcloud
• gcloud alpha interactive
• https://medium.com/@Joachim8675309/getting-started-with-gcloud-sdk-part-1-114924737
• https://medium.com/@Joachim8675309/getting-started-with-gcloud-sdk-part-2-4d049a656f1a
• https://gist.github.com/bborysenko/97749fe0514b819a5a87611e6aea3db8

blakebjorn

import zmq
from flask import Flask
from threading import Thread

HOST = '127.0.0.1'
PORT = 9090
TASK_SOCKET = zmq.Context().socket(zmq.REQ)
TASK_SOCKET.connect('tcp://{}:{}'.format(HOST, PORT))
app = Flask("app")

pkarthikr

// See https://github.com/dialogflow/dialogflow-fulfillment-nodejs
// for Dialogflow fulfillment library docs, samples, and to report issues
'use strict';
 
const functions = require('firebase-functions');
const {WebhookClient} = require('dialogflow-fulfillment');
const {Card, Suggestion} = require('dialogflow-fulfillment');
 
process.env.DEBUG = 'dialogflow:debug'; // enables lib debugging statements
 

pydevops

• 0.1. References
• 0.2. Other cheatsheets
• 0.3. Manage multiple gcloud config configurations
  • 0.3.1. Switch gcloud context with gcloud config
• 0.4. Credentials
• 0.5. info
• 0.6. projects
• 0.7. zones & regions
• 0.8. Organization
• 0.9. billing

bluekvirus

Develop a Flask Application using MariaDB, Redis and Celery on Ubuntu 14.04

@credit Yan Zhu (https://github.com/nina-zhu)

Introduction

Before you start this guide, you should run through the "How To Serve Flask Applications with uWSGI and Nginx on Ubuntu 14.04" guide. This is necessary in order to set up virtualenv, uWSGI and Nginx. In that guide, we developed a very simple flask application having just 1 file "firstflask.py" with only 9 lines of code, it is a sample for showing you the general steps. In this guide, we will create a complete user session listing application, with login, logout functionality. We will use MariaDB to store the users records, and use Redis to store the session data and background tasks.

Let's get started.

Set Up the MariaDB Server

aaronpolhamus

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat

tapanpandita

Task queuing in Django with ZeroMQ

Introduction

Here at Glitterbug Tech, Django is the lifeline of everything we make and we are big fans! Django doesn't get in the way and lets us write the language we love, python, while providing an amazing set of tools that makes creating web applications fast and fun. But, as you know, code is executed synchronously before you can send back a response. Which means when you are generating that report from your database which has a million rows, your client has to wait for a response while your application huffs and puffs trying to get everything ready (Unless he times out, in which case you receive angry calls while you try to explain what "502 Bad Gateway" means). Sometimes you just want to make your site more responsive by pushing time consuming tasks in the background ("Your comment has been posted!" while a zmq process works in the backend adding it to your db/caching layer/pushing it to followers/creating rainbows). Wha