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@vkostyukov
vkostyukov / statuses.md
Last active June 13, 2024 16:30
HTTP status codes used by world-famous APIs
API Status Codes
[Twitter][tw] 200, 304, 400, 401, 403, 404, 406, 410, 420, 422, 429, 500, 502, 503, 504
[Stripe][stripe] 200, 400, 401, 402, 404, 429, 500, 502, 503, 504
[Github][gh] 200, 400, 422, 301, 302, 304, 307, 401, 403
[Pagerduty][pd] 200, 201, 204, 400, 401, 403, 404, 408, 500
[NewRelic Plugins][nr] 200, 400, 403, 404, 405, 413, 500, 502, 503, 503
[Etsy][etsy] 200, 201, 400, 403, 404, 500, 503
[Dropbox][db] 200, 400, 401, 403, 404, 405, 429, 503, 507
@tj
tj / config.js
Last active December 27, 2015 14:49
/**
* Module dependencies.
*/
var pkg = require('../package');
var env = process.env.NODE_ENV || 'development';
/**
* Return setting `name`.
*
@jonbretman
jonbretman / type.js
Last active January 16, 2024 01:16
Simple type checking in JavaScript.
(function (root) {
var type = function (o) {
// handle null in old IE
if (o === null) {
return 'null';
}
// handle DOM elements
@jbenet
jbenet / simple-git-branching-model.md
Last active November 9, 2024 04:55
a simple git branching model

a simple git branching model (written in 2013)

This is a very simple git workflow. It (and variants) is in use by many people. I settled on it after using it very effectively at Athena. GitHub does something similar; Zach Holman mentioned it in this talk.

Update: Woah, thanks for all the attention. Didn't expect this simple rant to get popular.

@willurd
willurd / web-servers.md
Last active November 19, 2024 22:45
Big list of http static server one-liners

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000
package main
import (
"fmt"
"runtime"
"time"
)
func waitAround(die chan bool) {
<- die
@nightire
nightire / Changes in Rails 4_1.md
Last active May 11, 2022 04:50
拥抱 Rails 4 —— 详述 Rails 4 的新变化

Routes

小心地使用 Match(Rails 3 已实现)

Rails 3 提供了 match 方法供我们自定义 routes,然而我们要小心使用它以避免“跨站脚本攻击”(XSS Attack)。比如像这样的 routes:

注:(r3 代表 Rails 3,r4 代表 Rails 4)

# routes.rb
# MAC manipulators
alias random_mac='sudo ifconfig en0 ether `openssl rand -hex 6 | sed "s/\(..\)/\1:/g; s/.$//"`'
alias restore_mac='sudo ifconfig en0 ether YOUR_ORIGINAL_MAC_ADDRESS_GOES_HERE'
@yorkxin
yorkxin / avoid-jquery-when-possible.md
Created July 7, 2012 13:04
Avoid jQuery When Possible

Avoid jQuery When Possible

jQuery does good jobs when you're dealing with browser compatibility. But we're living in an age that fewer and fewer people use old-school browsers such as IE <= 7. With the growing of DOM APIs in modern browsers (including IE 8), most functions that jQuery provides are built-in natively.

When targeting only modern browsers, it is better to avoid using jQuery's backward-compatible features. Instead, use the native DOM API, which will make your web page run much faster than you might think (native C / C++ implementaion v.s. JavaScript).

If you're making a web page for iOS (e.g. UIWebView), you should use native DOM APIs because mobile Safari is not that old-school web browser; it supports lots of native DOM APIs.

If you're making a Chrome Extension, you should always use native APIs, not only because Chrome has almost the latest DOM APIs available, but this can also avoid performance issue and unnecessary memory occupation (each jQuery-driven extension needs a separate

@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs