Most of programs will not accept an email using just @localhost as domain.
So, edit /etc/hosts file to make the domain localhost.com point to your machine, including this content to the file:
127.0.0.1 localhost.com
Most of programs will not accept an email using just @localhost as domain.
So, edit /etc/hosts file to make the domain localhost.com point to your machine, including this content to the file:
127.0.0.1 localhost.com
ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats
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.
$ python -m SimpleHTTPServer 8000| /** | |
| Returns a bounding rect for _el_ with absolute coordinates corrected for | |
| scroll positions. | |
| The native `getBoundingClientRect()` returns coordinates for an element's | |
| visual position relative to the top left of the viewport, so if the element | |
| is part of a scrollable region that has been scrolled, its coordinates will | |
| be different than if the region hadn't been scrolled. | |
| This method corrects for scroll offsets all the way up the node tree, so the |
| require.config({ | |
| baseUrl: '/backbone-tests/', | |
| paths: { | |
| 'jquery' : '/app/libs/jquery', | |
| 'underscore' : '/app/libs/underscore', | |
| 'backbone' : '/app/libs/backbone', | |
| 'mocha' : 'libs/mocha', | |
| 'chai' : 'libs/chai', | |
| 'chai-jquery' : 'libs/chai-jquery', | |
| 'models' : '/app/models' |
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
Data visualization in one of three most important steps in data mining (https://github.com/entaroadun/hnpickup#readme). Often times, it's impossible to understand data without proper visualization. I went looking for great tools to do that.
Two website list recent JS visualization frameworks:
Most of them are available on Github. My three favorite: