Pages tagged asynchronous:

celery - Distributed Task Queue for Django. — Celery v0.3.5 (unstable) documentation
http://ask.github.com/celery/introduction.html

celery is a distributed task queue framework for Django. It is used for executing tasks asynchronously, routed to one or more worker servers, running concurrently using multiprocessing.
Diesel: How Python Does Comet
http://dieselweb.org/lib/
framework for writing network applications using asynchronous I/O in Python
diesel is a framework for writing network applications using asynchronous I/O in Python. It uses Python's generators to provide a friendly syntax for coroutines and continuations. It performs well and handles high concurrency with ease.
diesel is a framework for writing network applications using asynchronous I/O in Python.
diesel is a framework for writing network applications using asynchronous I/O in Python. It uses Python's generators to provide a friendly syntax for coroutines and continuations. It performs well and handles high concurrency with ease.
Asynchronous Image Loading with jQuery | Realm of Zod
http://blog.realmofzod.com/2009/04/09/asynchronous-image-loading-with-jquery/
Asynchronous Image Loading with jQuery
# on LoadImage(pSelector, pCallback){ # var loader = $(pSelector); # loader.html(‘<img src="’ + gLoadSpinnerUrl + ‘"/>’); # # LoadThisImage($(img), loader
Introducing Resque - GitHub
http://github.com/blog/542-introducing-resque
バッググランドジョブを管理する Resque の紹介
High Performance Web Sites :: Google Analytics goes async
http://www.stevesouders.com/blog/2009/12/01/google-analytics-goes-async/
they
Google Code Blog: Google Analytics Launches Asynchronous Tracking
http://googlecode.blogspot.com/2009/12/google-analytics-launches-asynchronous.html
Nicholas Piël » Socket Benchmark of Asynchronous Servers in Python
http://nichol.as/asynchronous-servers-in-python
This also shows that for massively concurrent problems, such as lots of parallel comet connections, the GIL in Python is a non-issue as we handle the concurrent connections in a single thread. In this post i am going to look at a selection of asynchronous servers implemented in Python.
Asynchronous Tracking - Google Analytics - Google Code
http://code.google.com/apis/analytics/docs/tracking/asyncTracking.html
Fibers & Cooperative Scheduling in Ruby - igvita.com
http://www.igvita.com/2009/05/13/fibers-cooperative-scheduling-in-ruby/
A HTTP Proxy Server in 20 Lines of node.js Code - good coders code, great reuse
http://catonmat.net/http-proxy-in-nodejs
muy bueno
node.js
"This is just amazing. In 20 lines of node.js code and 10 minutes of time I was able to write a HTTP proxy. And it scales well, too. It's not a blocking HTTP proxy, it's event driven and asynchronous, meaning hundreds of people can use simultaneously and it will work well."
This is just amazing. In 20 lines of node.js code and 10 minutes of time I was able to write a HTTP proxy. And it scales well, too. It's not a blocking HTTP proxy, it's event driven and asynchronous, meaning hundreds of people can use simultaneously and it will work well.
Vows « Asynchronous BDD for Node
http://vowsjs.org/
Node.js testing. Inspirational site!
Vows is a behavior driven development framework for Node.js. Vows was built from the ground up to test asynchronous code. It executes your tests in parallel when it makes sense, and sequentially when there are dependencies. Emphasis was put on speed of execution, clarity and user experience.
Lazy Loading Asyncronous Javascript – Friendly Bit
http://friendlybit.com/js/lazy-loading-asyncronous-javascript/
Externes Script nachladen, ohne die Hostseite zu bremsen
Load external JS file non-blocking and without delaying onload()