mirror of https://github.com/python/cpython
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280 lines
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<TITLE>Using Python on the Macintosh</TITLE>
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<H1>Using Python on the Macintosh</H1>
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<EM>(preliminary)</EM>
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<HR>
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This document is an introduction to using Python on the Apple Macintosh.
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It does not introduce the language itself, for this you should refer
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to the <A HREF="http://www.python.org/doc/tut/tut.html">Python Tutorial</A>
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by Guido van Rossum. This guide
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more-or-less replaces chapter two of the tutorial, and provides some
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additional material. <p>
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The document refers to Python 1.3.3 or higher, some of the features (like
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setting applet options) will not work in earlier versions of Python. <p>
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<h2>Invoking the interpreter</h2>
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The name of the interpreter may differ on different installations: it may
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be called <CODE>Python</CODE>, <CODE>PythonPPC</CODE> (for powerpc macs) or
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<CODE>Python68K</CODE> (indeed, for 68K macs). It will always be recognizable by
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the "16 ton" icon, though. You start the interpreter in interactive mode by
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double-clicking it. <p>
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<img src="html.icons/python.gif"><p>
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This should give you a text window with an informative version string and a prompt,
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something like the following:
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<PRE>
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Python 1.3.3 (Apr 7 1996) [CW PPC w/GUSI]
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Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam
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>>>
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</PRE>
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The version string tells you the version of Python, whether it was built for
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PPC or 68K macs and possibly some options used to build the interpreter. If
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you find a bug or have a question about how the interpreter works it is a good
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idea to include the version information in your message. <p>
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At the prompt you can type interactive python commands. See the tutorial for
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more information. The interactive window works more-or-less like a Communication
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Toolbox or Telnet window: you type commands at the bottom and terminate them with
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the <EM>[return]</EM> or <EM>[enter]</EM> key. Interpreter feedback also appears
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at the bottom of the window, and the contents scroll as output is added. You can
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use copy and paste in the normal way, but be sure to paste only at the bottom
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of the document.
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<h2>Creating Python scripts</h2>
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The Python interpreter works in a way that is different from what you would
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expect of a macintosh program: the interpreter is just that: an interpreter.
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There is no builtin editor or other development support. Hence, to create
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a Python script you need an external text editor. For a first script you
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can use any editor that can create plain, unstyled text files, such as
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<CODE>SimpleText</CODE>. <p>
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For more serious scripts, though, it is advisable to use a programmers editor,
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such as <CODE>BBEdit</CODE> or <CODE>Alpha</CODE>. BBEdit is my favorite: it comes in a
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commercial version but also in a fully-functional free version
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<CODE>BBEdit Lite</CODE>. You can download it from the
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<A HREF="http://www.barebones.com/">BareBones</A> site.
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The free version will probably provide all the functionality you will ever need.
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Besides the standard edit facilities it has multi-file searches and many other
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goodies that can be very handy when editing programs. <p>
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After you have created your script in the editor of your choice you drop it on
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the interpreter. This will start the interpreter executing the script, again with
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a console window in which the output appears and in which you can type input if
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the script requires it. Normally the interpreter will close the window and quit
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as soon as the script is done executing, see below under
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<A HREF="#startup">startup options</A>
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for a way to change this. <p>
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It is a good idea to have the names of all your scripts end in <CODE>.py</CODE>. While
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this is not necessary for standalone scripts it is needed for modules, and it is
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probably a good idea to start the habit now. <p>
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<h2>Clickable python scripts</h2>
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If you create your script with the correct creator and type, creator <CODE>'Pyth'</CODE>
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and type <CODE>'TEXT'</CODE>, you can double-click your script and it will automatically
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invoke the interpreter. If you use BBEdit you can tell it about the Python file
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type by adding it to the "file types" sections of the preferences. Then, if you save
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a file for the first time you can tell BBEdit to save the file as a Python script
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through the "options" choice of the save dialog. <p>
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The <CODE>Scripts</CODE> folder contains a script <CODE>fixfiletypes</CODE> that will
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recursively traverse a folder and set the correct creator and type for all files
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ending in <CODE>.py</CODE>. <p>
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<h2>Interaction with the user</h2>
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Normally, the interpreter will check for user input (mouse clicks, keyboard
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input) every once in a while, so it is possible to switch to other applications
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while a script runs. It is also possible to interrupt the interpreter with
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the standard command-period keypress, this will raise the <CODE>KeyboardInterrupt</CODE>
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exception. Scripts may, however, turn off this behaviour to facilitate their
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own event handling. Such scripts can only be killed with the command-option-escape
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shortcut.
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<h2><A NAME="startup">startup options</A></h2>
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If the <EM>option</EM> key is depressed when Python starts executing the
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interpreter will bring up an options dialog thru which you can influence the way
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the interpreter behaves. Keep the option key depressed until the dialog comes up. <p>
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<img src="html.icons/options.gif"><p>
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The options modify the interpreters behaviour in the following way:
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<ul>
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<li> the interpreter goes to interactive mode (in stead of
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exiting) after a script has terminated normally,
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<li> for every module imported a line is printed telling you where the
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module was loaded from,
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<li> do not print the values of expressions executed as statements in an
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interactive python,
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<li> do not buffer stdout and stderr,
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<li> print some debugging output during the parsing phase,
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<li> keep the output window open when a script terminates.
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</ul>
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In addition, you can enter a unix-style command line which is passed to the script
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in <CODE>sys.argv</CODE>. Sys.argv[0] is always the name of the script being executed,
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additional values can be passed here. Quoting works as expected. <p>
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The default options are also settable on a system-wide basis, see the section on
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<A HREF="#preferences">editing preferences</A>. <p>
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<h2>Module search path</h2>
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The module search path, <CODE>sys.path</CODE>, contains the folders python will search
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when you import a module. The path is settable on a system-wide basis (see the
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preferences section), and normally comprises the current folder (where the script
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lives), the <CODE>Lib</CODE> folder and some of its subfolders and possibly some more. <p>
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<h2>Working folder</h2>
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The unix concept of a <I>working directory</I> does not translate directly to
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a similar concept on the Macintosh. To facilitate easy porting and the use of
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relative pathnames in scripts the interpreter simulates a working directory. When
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a script is started the initial working directory is the folder where the script
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lives. In case of an interactive interpreter the working directory is the folder
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where the interpreter lives. The "standard file" folder does <EM>not</EM> follow
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the working directory, it follows the standard MacOS rules (which are settable
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through a control panel since MacOS 7.5).
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<h2>Interactive startup file</h2>
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If the folder containing the interpreter contains a file named <CODE>PythonStartup</CODE>
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this file is executed when you start an interactive interpreter. In this file you
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could import modules you often use and other such things. <p>
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<h2>Compiled python scripts</h2>
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Once a python module has been imported the interpreter creates a compiled version
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which is stored in a file with the ".py" extension replaced by ".pyc". These
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compiled files, with creator <CODE>'Pyth'</CODE> and type <CODE>'PYC '</CODE> load faster
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when imported (because they do not have to be parsed). The <CODE>Lib</CODE> folder
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contains a script <CODE>compileall.py</CODE>, running this script will cause all modules
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along the python search path to be precompiled, which will speed up your programs.
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Compiled files are also double-clickable. <p>
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<h2>Python resources</h2>
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MacPython has the ability to collect a number of compiled modules together
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in the resource fork of a single file. This feature is useful if you
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distribute a python program and want to minimize clutter: you can put all the
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needed modules in a single file (which could even be the interpreter itself). <p>
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If the module search path contains a filename as one of its entries (as opposed to
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a folder name, which is the normal case) this file will be searched for a resource
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with type <CODE>'PYC '</CODE> and a name matching the module being imported. <p>
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The <CODE>scripts</CODE> folder contains a script <CODE>PackLibDir</CODE> which will convert
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a number of modules (or possibly a complete subtree full of modules) into such a
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resource file.
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<h2><A NAME="preferences">Setting interpreter preferences</A></h2>
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The python interpreter keeps a preferences file in the standard location in the
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system folder. In this preferences file it remembers the default module search
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path and the default settings for the runtime options. The preferences are settable
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via <CODE>EditPythonPrefs</CODE>. For PPC python this is a standalone program living
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in the main Python folder, for 68K python it is a script in the <CODE>Scripts</CODE>
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folder. <p>
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The interface to edit the preferences is rather clunky for the current release. <p>
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<img src="html.icons/preferences.gif"><p>
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In the editable text field at the top you enter the initial module search path,
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using newline as a separator. There are two special values you can use here:
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an initial substring <CODE>$(PYTHON)</CODE> will expand to the Python home folder
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and a value of <CODE>$(APPLICATION)</CODE> will expand to the the python application
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itself. Note that the text field may extend "beyond the bottom" even though it
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does not have a scroll bar. Using the arrow keys works, though.<p>
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The Python home folder $(PYTHON) is initially, when you execute the interpreter
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for the first time, set to the folder where the interpreter lives. You can change it
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here. <p>
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Finally, you can set the default startup options here, through a sub-dialog.
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<h2>Applets</h2>
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An applet is a fullblown application written in Python, similar to an AppleScript
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applet (and completely different from a Java applet). Applets are currently only
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supported on PowerPC macintoshes, and are created using the <CODE>mkapplet</CODE>
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program. You create an applet by dropping the python source script onto mkapplet.
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The <CODE>Demo</CODE> folder contains an example of a more involved applet with its
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own resource file, etc. <p>
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Note that while an applet behaves as a fullblown Macintosh application it is
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not self-sufficient, so distributing it to a machine without an installed Python
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interpreter will not work: it needs the shared python execution engine
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<CODE>PythonCore</CODE>, and probably various modules from the Lib and PlugIns folders. <p>
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<h2>Customizing applets</h2>
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Applets can have their own settings for the startup options and module search
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path. Dropping an applet on the <CODE>EditPythonPrefs</CODE>
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application allows you to set
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these, in the same way as double-clicking EditPythonPrefs allows you to set
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the system-wide defaults. <p>
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Actually, not only applets but also the interpreter itself can have non-default
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settings for path and options. If you make a copy of the interpreter and drop
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this copy onto EditPythonPrefs you will have an interpreter that has a different
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set of default settings.
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<h2>Where to go from here</h2>
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The previously mentioned <A HREF="http://www.python.org/doc/tut/tut.html">Python
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Tutorial</A> is an excellent place to start reading if you have never used
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Python before. Other documentation such as the library reference manual is
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indexed at the <A HREF="http://www.python.org/doc/">Python Documentation</A>
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page. <p>
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There are some <A HREF="index.html">annotated sample programs</A> available
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that show some mac-specific issues, like use of various toolboxes and creation
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of Python applets. <p>
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Finally, the <CODE>Demo</CODE> folder in the Macintosh distribution contains
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a number of other example programs. Most of these are only very lightly documented,
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but they may help you to understand some aspects of using Python. <p>
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The best way to contact fellow Macintosh Python programmers is to join
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the MacPython Special Interest Group mailing list. Send a message with "info"
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in the body to <A HREF="mailto:pythonmac-sig-request@python.org">pythonmac-sig-request@python.org</A>
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or view the <A HREF="http://www.python.org/sigs/pythonmac-sig/">Pythonmac SIG page</A> on the
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<A HREF="http://www.python.org">www.python.org</A> WWW server. <p>
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<h2>Troubleshooting</h2>
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Python is a rather safe language, and hence it should be difficult to crash the
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interpreter of the system with a Python script. There is an exception to this rule,
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though: the modules that interface to the system toolboxes (windowing, quickdraw,
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etc) do very little error checking and therefore a misbehaving program using these
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modules may indeed crash the system. Such programs are unfortunately rather
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difficult to debug, since the crash does not generate the standard Python stack
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trace, obviously, and since debugging print statements will often interfere with
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the operation of the program. There is little to do about this currently. <p>
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Probably the most common cause of problems with modules ported from other
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systems is the Mac end-of-line convention. Where unix uses linefeed, 0x0d, to
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separate lines the mac uses carriage return, 0x0a. To complicate matters more
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a lot of mac programming editors like BBEdit and emacs will work happily with
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both conventions, so the file will appear to be correct in the editor but cause
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strange errors when imported. BBEdit has a popup menu which allows you to inspect
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(and set) the end-of-line convention used in a file. <p>
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<HR>
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<A HREF="http://www.cwi.nl/~jack">Jack Jansen</A>,
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<A HREF="mailto:jack@cwi.nl">jack@cwi.nl</A>, 7-Apr-1996.
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</BODY>
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</HTML>
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