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Pylons applications are designed to be run in a multithreaded environment. This means they are loaded into memory once when the server is started, and on each request a new thread is started. Simply put, threading allows the same code to be executed in parallel to handle different requests, with each thread in turn getting a portion of the CPU time until it has finished executing. The advantage of the threaded approach is clear. Since most requests take at least a few milliseconds, there is no point in waiting for one request to finish before starting the next because most of the time the Pylons application will be waiting for data, either from the network, the filesystem, the database, or elsewhere; so, handling multiple requests at the same time using threads is much more efficient because while one thread is waiting for network or database information, the others can be performing useful processing. Handling multiple threads at once in this way is called multithreading. An alternative approach is to have multiple Pylons applications running at once as different processes and then pass each new request to one of the running Pylons processes. This approach is called a multiprocess approach. Although this takes a lot more memory (since you are running more copies of Pylons), it is arguably more reliable because if one Pylons application has a serious crash, the others will still be available to serve requests. In a multithreaded environment, if

Another type of container widget provided by GTK+ is called a layout container. These are widgets that are used to arrange multiple widgets. Layout containers can be recognized by the fact that they are derived directly from GtkContainer. As the name implies, the purpose of layout containers is to correctly arrange their children according to the user s preferences, your instructions, and built-in rules. User preferences include the use of themes and font preferences. These can be overridden, but in most cases, you should honor the user s preferences. There are also resizing rules that govern all container widgets, which will be covered in the next section. Layout containers include boxes, fixed containers, paned widgets, icon views, layouts, menu shells, notebooks, sockets, tables, text views, toolbars, and tree views. We will be covering most of the layout widgets throughout this chapter and the rest of the book. More information on those we do not cover is available in the API documentation.

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one Pylons application were to crash badly, no more requests could be served. Luckily, Pylons is designed to handle problems within individual threads so is highly unlikely to fail in such a way as to prevent other threads from serving requests; therefore, most people stick with a multithreaded environment. One drawback of the multiprocess approach is that you can t directly share information between requests. For example, if your application used the counter example from 3 where the number of requests was stored in the app_globals object and you were to run the application as two separate processes, each would have their own counter. You can t share data via the app_globals object in a multiprocess environment, but you can in a multithreaded environment. Of course, nothing is stopping you from setting up multiple Pylons processes, each of which can handle multiple threads, as long as you haven t written any complex code that relies on information in the Pylons app_globals object being available. You could also deploy your Pylons application as a CGI script using the run_with_cgi() example you saw in 16. As was mentioned in that chapter, though, doing so is very inefficient because handling each request would involve loading the entire app into memory including Python itself and all the required libraries, setting up the middleware stack, handling the one request, and then unloading everything again. For this reason, deploying a Pylons application as a CGI script is not recommended. It is also possible to run Pylons on an asynchronous server, although I ve never done so. In practice, this would offer few advantages over multithreading because Pylons itself is not set up for asynchronous use. The different ways of getting a Pylons application integrated into another server broadly fall into two camps: embedding and proxying.

This exercise is very similar to Exercise 2-1, except you need to use the functions provided by the GObject library for changing properties. For example, in the main() function, the title, width, height, and resizability of the GtkWindow widget should be set with g_object_set(). In addition, within the key-press-event callback function, you should use g_object_get() and g_object_set() to interact with the title property of the GtkWindow and the label property of the GtkLabel. You are also instructed to provide notification when the window s title property is changed. Connecting the window to the notify::title signal, which will monitor the value of the given property, can do this. Then, g_message() will output the new window title to standard output. You should see the message in the terminal output if you launch your application from a terminal emulator.

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