MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

cdmwebs

Friendly URLs

By default, Rails applications build URLs based on the primary key -- the id column from the database. Imagine we have a Person model and associated controller. We have a person record for Bob Martin that has id number 6. The URL for his show page would be:

/people/6

But, for aesthetic or SEO purposes, we want Bob's name in the URL. The last segment, the 6 here, is called the "slug". Let's look at a few ways to implement better slugs.

moklett

Unfortunately, the Cisco AnyConnect client for Mac conflicts with Pow. And by "conflicts", I mean it causes a grey-screen-of-death kernel panic anytime you connect to the VPN and Pow is installed.

As an alternative, there is OpenConnect, a command-line client for Cisco's AnyConnect SSL VPN.

Here's how to get it set up on Mac OS X:

1. OpenConnect can be installed via homebrew:

    brew update
   

brew install openconnect

zrong

#!/bin/bash

##############################
# dnspodsh v0.3
# 基于dnspod api构架的bash ddns客户端
# 作者：zrong(zengrong.net)
# 详细介绍：http://zengrong.net/post/1524.htm
# 创建日期：2012-02-13
# 更新日期：2012-03-11
##############################

snakevil

如何在路由器中实现透明代理？

0 互联网现状

目前整个互联网环境，被破坏最严重地部分，是 Web 服务体验。当直接破坏难以实现时，就会从流程链的上下游着手，如：DNS 污染。

其它地互联网服务类型，例如：邮件，可能小部分会受到 Web 服务上下游破坏地余震，但整体上基本不受影响。

pklaus

"""
Determine IPv4 addresses on a Linux machine via the socket interface.
Thanks @bubthegreat the changes to make it Py2/3 compatible and the helpful
code comments: https://gist.github.com/pklaus/289646#gistcomment-2396272
This version has all comments removed for brevity.
"""

import socket
import array
import struct

weakish

This project has been moved to https://github.com/weakish/gister

Please update your bookmark and git remote.

mangecoeur

Easy parallel python with concurrent.futures

As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.

For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.

We use the context manager thusly:

with concurrent.futures.ProcessPoolExecutor() as executor: