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

iros

Title

<Additional information about your API call. Try to use verbs that match both request type (fetching vs modifying) and plurality (one vs multiple).>

• URL

  <The URL Structure (path only, no root url)>

• Method:

kendellfab

func readLine(path string) {
  inFile, _ := os.Open(path)
  defer inFile.Close()
  scanner := bufio.NewScanner(inFile)
	scanner.Split(bufio.ScanLines) 
  
  for scanner.Scan() {
    fmt.Println(scanner.Text())
  }
}

arunoda

Installing SSHPASS

SSHPass is a tiny utility, which allows you to provide the ssh password without using the prompt. This will very helpful for scripting. SSHPass is not good to use in multi-user environment. If you use SSHPass on your development machine, it don't do anything evil.

Installing on Ubuntu

apt-get install sshpass

Installing on OS X

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.

chichunchen

# Ignore all
*

# Unignore all with extensions
!*.*

# Unignore all dirs
!*/

### Above combination will ignore all files without extension ###

adrianlzt

#!/usr/bin/env python

from influxdb import InfluxDBClusterClient

influx_host = "127.0.0.1"
influx_port = 8086
influx_user = "user"
influx_pass = "pass"
database = "example"

myh1000

Instructions based off of Mistobaan's gist.

These instructions are what I did to install tensorflow on my machine after a segmentation error occured while trying to import tensorflow in python took me 2 days to fix.

Prerequisites

Update brew and install latest packages.

brew update
brew install coreutils swig bazel

smuuf

# Echo number of GIT commits per year.
git log --pretty='format:%cd' --date=format:'%Y' | uniq -c | awk '{print "Year: "$2", commits: "$1}'

sebble

#!/bin/bash

USER=${1:-sebble}

STARS=$(curl -sI https://api.github.com/users/$USER/starred?per_page=1|egrep '^Link'|egrep -o 'page=[0-9]+'|tail -1|cut -c6-)
PAGES=$((658/100+1))

echo You have $STARS starred repositories.
echo