manigandand

package main

import (
	"fmt"
	"io/ioutil"
	"log"
	"os"
	"path/filepath"
)

Brainiarc7

Building Tensorflow from source on Ubuntu 16.04LTS for maximum performance:

TensorFlow is now distributed under an Apache v2 open source license on GitHub.

On Ubuntu 16.04LTS+:

Step 1. Install NVIDIA CUDA:

To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit as shown:

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

smuuf

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

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

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"

chichunchen

# Ignore all
*

# Unignore all with extensions
!*.*

# Unignore all dirs
!*/

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

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.

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

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())
  }
}