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
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/** | |
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 |
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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:
- http://www.splashnology.com/article/15-awesome-free-javascript-charts/325/
- http://sixrevisions.com/javascript/20-fresh-javascript-data-visualization-libraries/
Most of them are available on Github. My three favorite:
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