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he goals for this book are not only to teach you about objects and object modeling, but also to illustrate how objects translate into a working software application. So, before diving into the basics of objects in 3, we ll spend some time getting comfortable with Java fundamentals, as this is the programming language used to illustrate object concepts as they are introduced throughout the book. Objects are language neutral, and so what you ll learn conceptually about objects in Part 1 of this book, and about object modeling in Part 2, could apply equally well to Java, or C++, or C#, or an as-yet-to-be-invented object-oriented (OO) language. I ve chosen Java specifically for the many advantages that this elegant OO programming language affords us as software developers, which we ll explore in this chapter. In this chapter, you ll also learn about Primitive Java types, operators on those types, and expressions formed with those types The anatomy of a simple Java program The mechanics of compiling and running such programs Java s block-structured nature Various types of Java expressions Loops and other flow control structures Printing messages to the command window from which a program was launched, which is especially useful for testing code as it evolves Elements of Java programming style If you re a proficient C, C++, or C# programmer, you ll find much of Java syntax to be very familiar, and you should be able to breeze through this chapter fairly quickly.

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After learning what makes objects tick in Part 1 of the book and how to model an application to take advantage of objects in Part 2, you ll be ready for the grand finale: rendering an object model in code to produce a working Student Registration System (SRS) application in Part 3. As mentioned earlier, we could walk through building the SRS using any OO programming language. Why might we want to use Java Read on, and you ll quickly see why!

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Django has really enabled us to experiment with our Web site s functionality Both as a startup heat-seeking customers and businesses, and now as a part of HP working with a number of partners, we ve had to be very nimble when it comes to adapting the software to new demands The separation of functionality into models, views, and controllers has given us modularity so we can appropriately choose where to extend and modify The underlying Python environment gives us the opportunity to make use of existing libraries to solve problems without reinventing the wheel PIL, PDFlib, ZSI, JSmin, and BeautifulSoup are just a handful of the libraries we ve pulled in to do some heavy lifting for us The most difficult part of our Django use has been the relationship of memory objects to database objects, in a few ways.

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To execute a program written in a conventionally compiled language like C or C++, the source code must first be compiled into an executable form known as binary code or machine code. Binary code, in essence, is a pattern of 1s and 0s understandable by the underlying hardware architecture of the computer on which the program is intended to run. Even if original C or C++ source code is written to be platform independent that is, the program does not take advantage of any platform-specific language extensions such as a specific type of file access or graphical user interface (GUI) manipulation the resultant executable version will nonetheless still be tied to a particular platform s architecture and can therefore be run on only that architecture. That is, a version of the program compiled for a Sun Solaris workstation will not run on a Windows PC, a version compiled for a Windows PC will not run on a Linux machine, and so forth. This concept is depicted in Figure 2-1.

In contrast, Java source code is not compiled for a particular platform, but rather into a special intermediate format known as bytecode, which is said to be both platform independent and architecture neutral. That is, no matter whether a Java program is compiled under Sun Solaris, Windows, Linux, or any other operating system for which a Java compiler is available, the resultant bytecode turns out to be the same and hence can be run on any computer for which a (platform-specific) Java Virtual Machine (JVM) is available. This is illustrated in Figure 2-2.

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