patidardhaval

NodeRestful

Create Node Restful APIs with MySQL Database

Install Node JS and MySQL Software, create a database and import SQL file.

Go to terminal or command line.

Execute following commands to run this application.

Start Project

IrSent

# Safe Queue Celery App Settings

from __future__ import absolute_import, unicode_literals
from celery import Celery

app = Celery('some_project',
             broker='amqp://',
             backend='amqp://',
             include=['some_project.tasks'])

snakevil

【译】Docker 和子进程“僵尸化”问题

作者 Hongli Lai 看着像是华人，可惜没找到文章的中文版本，于是就很土鳖地手翻了一遍。文章的措辞很口语化，因此意译为主。点击这里可以阅读原文。

---

在构建 Docker 容器时，我们需要注意子进程的“僵尸化”问题（PID 1 Zombie Reaping Problem）。这会导致不可预知的和看起来匪夷所思的问题。本文解释了这个问题，也解释了如何去解决，并提供了一种预构建方案：Baseimage-docker 。

jbuck

#!/bin/bash

set -o errexit
set -o pipefail
set -o nounset
# set -o xtrace

COUNT=60
REDIS_HOST=$2

shelwinnn

# monkey-patch
import gevent.monkey
gevent.monkey.patch_all()

import gevent.pool
import gevent.queue

import sys
import re
import requests

drgarcia1986

# !/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Diego Garcia'

import tornado.web
import tornado.ioloop
import oauth2.tokengenerator
import oauth2.grant
import oauth2.store.redisdb
import oauth2.store.mongodb

kmike

function scroll_to(splash, x, y)
  local js = string.format(
    "window.scrollTo(%s, %s);", 
    tonumber(x), 
    tonumber(y)
  )
  return splash:runjs(js)
end

johnpaulhayes

from celery_app import Celery

celery = Celery("tasks", backend="amqp", broker="amqp://guest@localhost")

@celery.task(name='test_task')
def test_task():
	return "boom!"

jqlblue

# This file is just Python, with a touch of Django which means you
# you can inherit and tweak settings to your hearts content.
from sentry.conf.server import *
import os.path

CONF_ROOT = os.path.dirname(__file__)

DATABASES = {
    'default': {
        # You can swap out the engine for MySQL easily by changing this value

pckujawa

""" usage:
        a4.py train TRAIN_FEATURE_FILE [--new] [--validate]
        a4.py classify MUSIC_FEATURE_FILE

    The files should be CSV with 6 columns, the last of which is the target/label/class (or empty, if classifying), and the first of which is ignored.
"""
#-------------------------------------------------------------------------------
# Name: Pat Kujawa
# Purpose: MM audio classification asn 4
#-------------------------------------------------------------------------------