ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats
http://docs.opscode.com/chef/install_server.html | |
http://www.ducea.com/2013/03/05/howto-migrate-to-chef-11/ | |
wget https://opscode-omnitruck-release.s3.amazonaws.com/ubuntu/12.04/x86_64/chef-server_11.0.6-1.ubuntu.12.04_amd64.deb | |
sudo dpkg -i chef-server* | |
sudo chef-server-ctl reconfigure | |
sudo chef-server-ctl test | |
mkdir -p ~/.chef | |
sudo cp /etc/chef-server/chef-webui.pem ~/.chef/ |
plot.nnet<-function(mod.in,nid=T,all.out=T,all.in=T,bias=T,wts.only=F,rel.rsc=5, | |
circle.cex=5,node.labs=T,var.labs=T,x.lab=NULL,y.lab=NULL, | |
line.stag=NULL,struct=NULL,cex.val=1,alpha.val=1, | |
circle.col='lightblue',pos.col='black',neg.col='grey', | |
bord.col='black', ...){ | |
require(scales) | |
#sanity checks | |
if('mlp' %in% class(mod.in)) warning('Bias layer not applicable for rsnns object') |
-- http://blog.jooq.org/2013/11/19/how-to-create-a-range-from-1-to-10-in-sql/ | |
IF EXISTS (SELECT * | |
FROM dbo.sysobjects | |
WHERE id = object_id (N'[dbo].[generate_series]') | |
AND OBJECTPROPERTY(id, N'IsTableFunction') = 1) | |
DROP FUNCTION [dbo].[generate_series] | |
GO | |
CREATE FUNCTION [dbo].[generate_series] ( @p_start INT, @p_end INT) |
static void drawString(string text, Vector3 worldPos, Color? colour = null) { | |
UnityEditor.Handles.BeginGUI(); | |
if (colour.HasValue) GUI.color = colour.Value; | |
var view = UnityEditor.SceneView.currentDrawingSceneView; | |
Vector3 screenPos = view.camera.WorldToScreenPoint(worldPos); | |
Vector2 size = GUI.skin.label.CalcSize(new GUIContent(text)); | |
GUI.Label(new Rect(screenPos.x - (size.x / 2), -screenPos.y + view.position.height + 4, size.x, size.y), text); | |
UnityEditor.Handles.EndGUI(); | |
} |
- Install cmder_mini (msysgit is already installed, so no need for full version)
- In Cmder, open settings:
Win + Alt + P
- Under Startup > Tasks, add a task called
{bash}
with the following settings:- Task parameters (set icon):
- For Cmder icon:
/icon "%CMDER_ROOT%\cmder.exe"
- For Git icon:
/icon "C:\Program Files (x86)\Git\etc\git.ico"
- For Cmder icon:
- Commands (open Git's bash shell):
- Task parameters (set icon):
"C:\Program Files (x86)\Git\bin\sh.exe" -l -new_console:d:%USERPROFILE%
글쓴이: 김정주([email protected])
최근 딥러닝 관련 패키지들은 대부분 CPU와 GPU를 함께 지원하고 있습니다. GPU를 사용하면 보다 빠르게 학습 결과를 낼 수 있지만, GPU를 활용하기 위해서는 NVIDIA계열의 그래픽 카드, 드라이버 S/W 그리고 CUDA의 설치를 필요로 합니다.
이 글에서는 AWS의 GPU 인스턴스와 도커를 활용해 딥러닝 패키지(Caffe)를 편리하게 사용하는 방법을 소개합니다.
How to have some fun using the terminal.
- Install cowsay [0] via :
sudo apt-get install cowsay
- Install fortune [1] via :
sudo apt-get install fortune
- Install figlet [3] via :
sudo apt-get install figlet
- Make sure you have Ruby installed via :
ruby -v
- Install the lolcat [2] via : gem
gem install lolcat
- (option) Add to .bash_profile and/or .bashrc
- AngularU Server Rendering Presentation (6/25/2015): https://www.youtube.com/watch?v=0wvZ7gakqV4
- AngularConnect Full Stack Angular 2 Presentation (10/20/2015): https://www.youtube.com/watch?v=MtoHFDfi8FM
The dplyr
package in R makes data wrangling significantly easier.
The beauty of dplyr
is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas
package).
dplyr is organised around six key verbs: