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Most embedded development has been done in C/C++ and Java. These languages can be configured to produce very resource efficient programs. However, when you re designing a board, the cost differential between 512MB and 1GB of RAM is just a few pennies, and flash memory is priced the same; saving a few 100KB here and there isn t as important as it used to be. In combination processors that are much more powerful, wringing the most out of every processor cycle also isn t as important. The engineering time value involved in optimizing code is much greater than adding a little more processing power, memory, and storage. One of the ways to make the best out of your time is to pick the highest-level language for the job and let the underlying language or runtime environment handle the details. The following languages fall into the high-level category in that you don t need to worry about the underlying machine much when you re coding. Several commercial embedded systems use these languages as their primary development tool, so the information in this section isn t to illustrate that these can possibly be used but to let you know that these are practical alternatives to C/C++/Java.

Burn ends up looking a lot like Multiply, though there are some differences. In Figure 9-11, you can see that they both got darker, but Burn took on the blue color of the background layer, while Multiply turned black. With another color combination, though, Burn might end up darker. In Screen mode, the values of the visible pixels in the two layers are inverted, multiplied, and the product inverted again:

The prompt played when the InitialSilenceTimeout property setting expires more than once. The prompt played when the user gives input that isn t recognized by the specified grammar. The prompt played when the user gives input that isn t recognized by the specified grammar more than once. The prompt played if the specified confidence threshold isn t met.

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Python is a high-level, object-oriented, compiled language that runs on a Python virtual machine. The code runs anywhere a Python virtual machine is available. Python is a language that isn t high performance: the goal is to make code that is easy to read and debug. For applications where performance isn t paramount, Python is a great approach for development. Python s core language is very simple with an extensive library, built from Python code. You can find the library of Python code at /usr/lib/python< version >. This directory contains both the source code and the object code; if you re new to python, it s an excellent educational tool. Python structures its code into many small library files, making the language adaptable for embedded development; you can put just the libraries used for the project on the target.

This sometimes results in a washed-out look and a bright image with muted colors. Overlay is a combination of Multiply and Screen modes. The back layer is inverted, multiplied by twice the front layer, added to the original rear layer, and then multiplied by the original rear layer. (If you didn t follow that, don t worry about it.)

To use Python in an embedded project, you must build the Python virtual machine for the target. That virtual machine is built with a cross-compiler. To build Python, you need a cross-compiler built as explained in the previous chapter with the glibc library, but you can t use the uClibc C library to build the Python virtual machine. First, obtain and download the source code: $ wget http://www.python.org/ftp/python/< version >/Python-< version >.tgz $ tar xzf Python-<version>.tgz You can find the list of current Python releases at http://www.python.org/download/releases/. The latest version of Python is 3.2.1. The 3.0 line of Python contains enough new features that some older code written for Python 2.x won t compile or run, and this has stopped users from switching. Because the 2.x line of Python is more popular, version 2.6.2 is used as the example version.

It usually doesn t darken nearly as much as straight Multiply, though in this case, it has taken on so much of the background color that you can scarcely see the tree any more.

After unpacking the code, change directories into the source directory and use the configure command to set up the build environment: $ $ $ $ cd ./Python-<version> CC=< compiler > ./configure prefix=< board-rfs > make make install

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