Start - How to timeout in Python (with multiprocessing) [panela.blog-city.com] - Pentadactyl. How (not) to set a timeout on a computation in Python : Python - Pentadactyl. Start - Zero load time file formats - Steve Hanov's Programming Blog - Pentadactyl. Sometimes you cannot afford to load data files from disk. Maybe you need results immediately, or the data is simply too large to fit into memory. A technique that I like to use is an on-disk data structure. Here is a toy example for instantly accessing lists of related words. In this article, I address the problem of the time needed to load data into memory from disk. However, I do not make any optimization for disk caches or blocks. I am not going to talk about B-Trees or cache-oblivious structures. No waiting Using an on-disk data structure, there is no need to load the whole file into memory or parse it. Toy example Here is an on-disk structure for looking up related words that I prepared. --- header 4 bytes: number of words --- index section.
Here is a short python program for accessing the data file. #! When shouldn't you use this? SQLITE uses memory mapped files internally. Want more programming tech talk? Add to Circles on Google Plus. Start - jbochi/bazinga - GitHub - Pentadactyl. Start - Porting code to Python 3 with 2to3 - Dive Into Python 3 - Pentadactyl. Start - Gevent, Long-Polling & You - Toast Driven - Pentadactyl. A big focus lately (as far as web technology trends go) is the move to "real-time".
"Real-time" is a loaded terms that can mean a lot of things to different people, but what is consistent is people's desire to always have the latest information, without a lot of effort on their part. Because, let's face it, funny cat pictures are srs bizness. Regardless of what data you want to push, the technique herein might be a good starting place. This article is born out of the frustration of trying to find information on the Internet related to doing long-polling request with a simple WSGI backend.
Code available on GitHub. On Long-Polling The technique around long-polling essentially just means that, rather than quickly finishing a request & closing out the connection, the server starts the response but never closes the connection. In the past, you'd have to fire up many, many processes on the server (one per client since the connection has to hang open) to be able to long-poll many clients. Setup. Start - Design Patterns in Python : Python - Pentadactyl. Start - Crash into Python - Pentadactyl.