MySQL and Perl have been around for quite a while. They are still widely used even if the “fashion” is changing. This article talks about these two products working together as a whole, either on the Internet or on your local network. The provided example is written for Unix systems, free or not, even if it can be adapted to other widespread “systems”.
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This project serves as an introduction to client-server programming. You will be expected to implement an abstract protocol called Simple Registration Protocol using simple TCP socket programming. To illustrate the use of the protocol, you will also implement a concrete application: a simple appointment management system. This application will introduce you to the use of LAMP (Linux, Apache, MySQL and PHP), a free, powerful and commonly-used combination for Web-based applications.
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Welcome to the third and final lesson for this tutorial. If you’ve gone through Lesson 1 and Lesson 2, you already know the essentials for installing and writing useful scripts with MySQL and PHP. We’re going to look at some useful PHP functions that should make your life a lot easier. First, let’s look at include files.
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Open source has brought a lot more than Linux to the computing world. It has also given us PHP and MySQL. According to Graeme, PHP and MySQL are the world’s best combination for creating data-driven sites. In the first installment of this three- lesson tutorial, our Kiwi guide covers everything you need to know to begin developing database hubs. He gives instructions for installation on both Unix and Windows, and then goes on to show some simple scripts that will insert information into a database and display that data on a Web page.
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Low power consumption is a major constraint for battery-powered system like computer notebook or PDA. In the past, specialists usually designed both specific optimized equipments and codes to relief this concern. Doing like this could work for quite a long time, however, in this era, there is another significant restraint, the time to market. To be able to serve along the power constraint while can launch products in shorter production period, object-oriented programming (OOP) has stepped in to this field.
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A stemming algorithm is a technique used in Information Retrieval (IR) and some other applications of Natural Language Processing (NLP), which removes suffixes from a word in order to obtain a stem or base form which could be easily matched in databases or documents (Jurafsky 2000). Its use is based on the premise that two words with the same stem have very close semantic content. The several possible variations of the derivatives, inflected forms, gender and number changes, and other phenomena, make the grouping of all the variants under a common stem advisable. Applications that do not take these effects into account may end up with difficulties when comparing queries and documents, or dispersal effects in word frequency calculations.
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Concurrent programming is still challenging and difficult. “Since concurrency techniques have become indispensable for programmers who create highly available services and reactive applications, temporal dimensions of correctness introduced by concurrency, i.e., safety and liveness, are central concerns in any concurrent design and its implementation” [Lea 98]. And without expert guidance and concurrent design-pattern description, they’re expected to occasionally fail. Thus providing significant examples and paradigms for teaching good and correct style is of prime importance.

Learning concurrency paradigms is necessary but it is not sufficient. The choice of the run-time semantics must be known since it may introduce subtle design and programming errors. It is the aim of this paper to exemplify the importance of process queuing and awaking policies (whether processes are named threads or tasks) resulting from possible choices of the monitor concept implementation.
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“Commenting is a royal pain in the posterior” - “Comments are for weenies” - “I can understand my code quite well, thank you very much” - “Good code speaks for itself” - “No time for that, got to get that code out of the door”. Admit it, you have said some thing along these lines at least once during your coding career. Maybe you even now still are in this kind of frame of mind. Negative attitudes towards commenting may have several reasons:
Programmer’s hubris
Lazyness
No time left for documentation due to deadline constraints
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