chuangbo

替换上你的 API Token，域名ID，记录ID等参数，就可以运行了。 会在后台一直运行，每隔30秒检查一遍IP，如果修改了就更新IP。

获取 API Token 的方式

获得 domain_id 可以用 curl

curl -k https://dnsapi.cn/Domain.List -d "login_token=TOKEN"`

pydanny

<!-- this usually goes in <project-root>/templates/uni_form/field.html -->

{% if field.is_hidden %}
    {{ field }}
{% else %}
<div class="clearfix {% if field.errors %}error{% endif %}">
    <label for="{{ field.auto_id }}" {% if field.field.required %}class="requiredField"{% endif %}>
        {{ field.label|safe }}{% if field.field.required %}<span class="asteriskField">*</span>{% endif %}
    </label>
    <div class="input">

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

dypsilon

Frontend Development

Attention: the list was moved to

https://github.com/dypsilon/frontend-dev-bookmarks

This page is not maintained anymore, please update your bookmarks.

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umpirsky

This re-styles your sublime text sidebar to be dark, it fits default Monokai theme.

Save the Default.sublime-theme file into packages/Theme - Default, make a backup of your original if you want to be able to go back easily.

Based on:

• https://gist.github.com/olivierlacan/1857652
• https://gist.github.com/larrybotha/2935636

mycodeschool

/* Doubly Linked List implementation */
#include<stdio.h>
#include<stdlib.h>

struct Node  {
	int data;
	struct Node* next;
	struct Node* prev;
};

ngrilly

package auth

import (
	"net/http"
	"net/url"
	"strings"
	"time"

	"lib/crypto"
	"lib/utils"

denji

Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

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marians

import cPickle
import pickle
import json
import random
from time import time
from hashlib import md5

test_runs = 1000

def float_list():