2minchul

import asyncio
import re
from asyncio.streams import StreamReader, StreamWriter
from contextlib import closing
from typing import Tuple, Optional

import async_timeout

StreamPair = Tuple[StreamReader, StreamWriter]

skrawcz

import json
import logging
import sys


logger = logging.getLogger(__name__)


class PyBayFormatter(logging.Formatter):
    """Implementation of JSON structured logging that works for most handlers."""

0xpizza

#!/usr/bin/python3.7

import asyncio
import ipaddress
import re
import sys


MAX_NUMBER_WORKERS = 200

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

Kalimaha

import time
from threading import Thread
try:
    import socketserver as SocketServer
    import http.server as SimpleHTTPServer
except ImportError:
    import SocketServer
    import SimpleHTTPServer

nikhita

How to update the Go version

System: Debian/Ubuntu/Fedora. Might work for others as well.

1. Uninstall the exisiting version

As mentioned here, to update a go version you will first need to uninstall the original version.

To uninstall, delete the /usr/local/go directory by:

pierre-b

# config file
# vim ~/.config/fish/config.fish

# reload the config
# source ~/.config/fish/config.fish

# set the workspace path
set -x GOPATH /users/my-username/go

# add the go bin path to be able to execute our programs

Dev-Dipesh

Redis is Database whereas RabbitMQ was designed as a message router or message-orientated-middleware (mom), so I'm sure if you look for benchmarks, you'll find that RabbitMQ will outperform Redis when it comes to message routing.

RabbitMQ is written in Erlang which was specifically designed by the telecom industry to route messages, you get clustering out of the box due to it being written in Erlang which means in a clustered environment, RabbitMQ will outperform Redis even further.

Furthermore, you get guaranteed delivery of messages due to the AMQP protocol, in other words, if the network drops while consuming the message, the consumer won't be able to say thanks for the message, so the consumer will drop the message and Rabbit will requeue the message, if you publish a message and the queue didn't say thanks to the publisher due to network problems or timeouts, Rabbit will drop the message and the publisher will keep on trying to publish the message. You can have publish retries with backoff policies, so

Integralist

import asyncio
import time


def timeit(func):
    async def process(func, *args, **params):
        if asyncio.iscoroutinefunction(func):
            print('this function is a coroutine: {}'.format(func.__name__))
            return await func(*args, **params)
        else:

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.