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启动celery

celery -A app.celery worker

启动flask

python app.py

来个双层requests.get

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$cat /usr/local/Cellar/redis/2.8.8/homebrew.mxcl.redis.plist
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
  <dict>
    <key>KeepAlive</key>
    <dict>
      <key>SuccessfulExit</key>
      <false/>
    </dict>

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(defun get-repo-url (arg)
  (let* ((remote (if arg "upstream" (nth 2 (s-split "/" (magit-get-tracked-ref)))))
         (remote-url (magit-get "remote" remote "url"))
         (fragments (s-split "[:/@]/?/?" (s-chop-suffix ".git" remote-url))))
    (concat "http://" (s-join "/" (cdr fragments)))))

(defun open-in-repo (arg)
  (interactive "P")
  (let* ((url (get-repo-url arg))
         (branch (if arg "master" (magit-get-current-branch)))

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目录

<Python Web开发实战>

• 第1章. 初识Web开发
  • Web开发介绍
  • Web框架介绍
• 第2章. 环境搭建
  • Ubuntu环境搭建
• 包管理和虚拟环境

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❯ ps -ef | grep openvpn
    0 35727     1   0  1:48PM ??         0:00.07 /Applications/Tunnelblick.app/Contents/Resources/openvpn/openvpn-2.2.1/openvpn --daemon --log /Library/Application Support/Tunnelblick/Logs/-SLibrary-SApplication Support-STunnelblick-SShared-Sdouban.tblk-SContents-SResources-Sconfig.ovpn.9_0_3_1_305.1337.openvpn.log --cd /Library/Application Support/Tunnelblick/Shared/douban.tblk/Contents/Resources --config /Library/Application Support/Tunnelblick/Shared/douban.tblk/Contents/Resources/config.ovpn --cd /Library/Application Support/Tunnelblick/Shared/douban.tblk/Contents/Resources --management 127.0.0.1 1337 --management-query-passwords --management-hold --script-security 2 --up /Applications/Tunnelblick.app/Contents/Resources/client.2.up.tunnelblick.sh -w -d -f -ptADGNWradsgnw --down /Applications/Tunnelblick.app/Contents/Resources/client.2.down.tunnelblick.sh -w -d -f -ptADGNWradsgnw
  501 35772 92964   0  1:49PM ttys007    0:00.00 grep openvpn
❯ ping 10.8.0.1
PING 10.8.0.1 (10.8.0.1): 

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# coding=utf-8
# Note:
#     1. 使用Redis缓存用户信息，减少重复调用
#     2. 只通过用户的location字段看是否包含beijing、shanghai、guangzhou、
#        shenzhen、china这几个关键词判断是否是国人
from collections import defaultdict
import redis
import requests

USENAME = '<YOUR USERNSME>'

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# coding=utf-8
from mapreduce import SimpleMapReduce
from simple import FILES, file_parser


def count_err_log(item):
    word, occurances = item
    return (word, sum(occurances))

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import threading

count = 0


def incre():
    global count
    count += 1

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#/usr/bin/env python
# coding=utf-8

import random
import re


def color(messages):
    color = '\x1B[%d;%dm' % (1,random.randint(30,37))
    return '%s %s\x1B[0m' % (color,messages)