Note: This was written using elasticsearch 0.9.
Elasticsearch will automatically create an index (with basic settings and mappings) for you if you post a first document:
$ curl -X POST 'http://localhost:9200/thegame/weapons/1' -d \
'{
"_id": 1,
Note: This was written using elasticsearch 0.9.
Elasticsearch will automatically create an index (with basic settings and mappings) for you if you post a first document:
$ curl -X POST 'http://localhost:9200/thegame/weapons/1' -d \
'{
"_id": 1,
Other people's projects:
My projects (tutorials are on my blog at http://maxoffsky.com):
NOTE: Easier way is the X86 way, described on https://www.genymotion.com/help/desktop/faq/#google-play-services | |
Download the following ZIPs: | |
ARM Translation Installer v1.1 (http://www.mirrorcreator.com/files/0ZIO8PME/Genymotion-ARM-Translation_v1.1.zip_links) | |
Download the correct GApps for your Android version: | |
Google Apps for Android 6.0 (https://www.androidfilehost.com/?fid=24052804347835438 - benzo-gapps-M-20151011-signed-chroma-r3.zip) | |
Google Apps for Android 5.1 (https://www.androidfilehost.com/?fid=96042739161891406 - gapps-L-4-21-15.zip) | |
Google Apps for Android 5.0 (https://www.androidfilehost.com/?fid=95784891001614559 - gapps-lp-20141109-signed.zip) |
var mediaJSON = { "categories" : [ { "name" : "Movies", | |
"videos" : [ | |
{ "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org", | |
"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ], | |
"subtitle" : "By Blender Foundation", | |
"thumb" : "images/BigBuckBunny.jpg", | |
"title" : "Big Buck Bunny" | |
}, | |
{ "description" : "The first Blender Open Movie from 2006", | |
"sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ], |
#!/bin/bash | |
# This script will help you setup Docker for TLS authentication. | |
# Run it passing in the arguement for the FQDN of your docker server | |
# | |
# For example: | |
# ./create-docker-tls.sh myhost.docker.com | |
# | |
# The script will also create a profile.d (if it exists) entry | |
# which configures your docker client to use TLS | |
# |
#!/usr/bin/env bash | |
# Install the latest version of git on CentOS 6.x | |
# Install Required Packages | |
sudo yum install curl-devel expat-devel gettext-devel openssl-devel zlib-devel | |
sudo yum install gcc perl-ExtUtils-MakeMaker | |
# Uninstall old Git RPM | |
sudo yum remove git | |
Here are several different ways to test a TCP port without telnet.
$ cat < /dev/tcp/127.0.0.1/22
SSH-2.0-OpenSSH_5.3
^C
$ cat < /dev/tcp/127.0.0.1/23
Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.
Translations: (No guarantee that the translations are up-to-date)
sudo: required #is required to use docker service in travis | |
language: php #can be any language, just php for example | |
services: | |
- docker # required, but travis uses older version of docker :( | |
install: | |
- echo "install nothing!" # put your normal pre-testing installs here |
With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.
The following section is divided in to two parts. Caffe's documentation suggest