How to install Python 2.2.1 on your Macintosh --------------------------------------------- This is a MacPython that can run on classic MacOS (from 8.1 onwards) and natively on MacOSX. The installer tries to work out whether you can use the Carbon version or not. For Mac OS X users: this version of Python does not run from the command line, it is a pure "Mac only" app. Use the standard unix Python from the commandline, the two Pythons will be merged in the future. You should definitely read the Relnotes file too, and the section below about toolbox module reorganization. You should also read :Misc:NEWS, which lists the general (non-mac-dependent) new features of this Python release. A special note about the active installer: do not background it, it may hang your machine. This is a general problem with Vise active installers, MindVision are working on it. ------ If this is your first encounter with Python: you definitely need the common user documentation (common to all platforms). You can find this (in various forms) on www.pythonlabs.com, www.python.org and ftp.python.org. Through there, or via http://www.cwi.nl/~jack/macpython.html you can also find the most recent MacPython distribution. Mac-specific documentation is included in this distribution in folder Mac:Demo. The documentation is sparse, but it will have to serve for now. The documentation is in HTML format, start with index.html. This installer installs MacPython for classic PPC MacOS, MacPython for Carbon (OS X, OS 9 or OS 8 with CarbonLib installed) or both, depending on your configuration. By selecting custom install you can bypass these tests and install what you want. If you want 68k support you will have get MacPython 1.5.2. What to install --------------- The optional parts in this distribution are - TK+PIL: Tkinter and support modules, plus Imaging, the Python image manipulation package (allows you to read, write and display images and do lots of operations on them). For Carbon MacPython you only get PIL: there is no Tcl/Tk for Carbon yet. This is the reason Classic MacPython is also installed on MacOSX: it allows you to run Tkinter applications, albeit in the Classic box. - img: another imaging package. Has more file format support and is faster than imaging, but has only limited operations on images. There is a bridge between the packages. - Numeric: the LLNL Numeric Python extension. All sorts of nifty operations on matrices and such. This is the most recent version from the sourceforge archive. Numeric has moved from Extensions to :Lib:site-python, by the way, see the release notes. - Developers kit: all header files and some tools and sample projects to get you started on writing Python extensions if you have CodeWarrior. All these except the DevKit are installed with Easy Install. After the installer finishes it automatically launches the appropriate ConfigurePython applet, to finish configuration of your Python. If you run MacOS9 or later (or 8 with CarbonLib installed) you can switch back and forth between the classic and Carbon versions of Python by running either ConfigurePythonClassic or ConfigurePythonCarbon. Moving your Python installation after installing is generally not a good idea. If you have to do this anyway you should remove your preference file, run ConfigurePython and remove all .pyc files. (there's a script zappyc.py that does the latter). If you don't have enough memory: the sizes choosen are somewhat arbitrary, and they are as high as they are so that test.autotest runs with fewer problems. An average Python program can make do with much less memory. Try lowering the application sizes in the finder "get info" window, and seeing whether the resulting python is still usable. After installing ---------------- It is probably a good idea to run the automatic tests. Start Python and "import test.regrtest ; test.regrtest.main()". test_frozen will fail in MacPython because of different handling on frozen modules. This should not be a problem in normal use. test_time will fail because MacPython accepts bogus values for mktime(), this will be fixed later (it is not a very serious problem). test_email will fail during summer (no kidding:-). Actually, it will fail when DST is active, because the date parsing test is GMT-centric and does not handle the Macintosh's localtime very well. Three tests will fail on MacOS9 with MemoryErrors: test_longexp, test_sha and test_zlib (on MacOSX these should pass). If you increase the PythonInterpreter memory partition size they will pass (but for longexp you have to increase it by an incredible amount, 400MB is rumoured). It will, however, print some messages about optional features not supported. You should not worry about these, they are modules that are supported by Python on other platforms. Also, if you didn't run compileall before autotesting you may run out of memory the first time you run the tests. test_socket may also fail if you have no internet connection. Please also read the Relnotes file for other minor problems with this distribution. Using Python is most easily done from the IDE, which has a builtin editor, debugger and other goodies. The alternative is to use PythonInterpreter, which is the lowlevel interpreter with a console-window only (similar to Unix Python). If your program uses Tkinter you MUST run it under PythonInterpreter, Tkinter and IDE are incompatible and your program will fail in strange ways. OSX Multiple users note ----------------------- Interaction with Mac OS X multiple users has been tested only very lightly. If you install as a privileged user everything installs fine. If you install as a non-privileged user everything should install in your local per-user folders. But: as there is no global PythonCore you can only run applets if they reside in your toplevel Python folder. If you install as a privileged user and then try to run Python as another (non-privileged) user you may encounter a problem with not having a preference file: the symptom is failing to import all sorts of standard modules. If you remove your per-user Python preference files (in ~/Library/Preferences) and then run PythonIntpreter once everything should be fine. Uninstalling ------------ Up to three items are installed in the system folder: the interpreter shared libraries PythonCore and PythonCoreCarbon live in the Extensions folder and the "Python 2.2.1 Preferences" file in the Python subfolder in the Preferences folder. All the rest of Python lives in the folder you installed in. On OSX the libraries are installed in /Library/CFMSupport. The ConfigurePython applets will complain if you have no right to create the libraries there (you need Admin privileges). This has one consequence: you will not be able to run applets unless they reside in the MacPython folder (such as the IDE or EditPythonPrefs). If you try to run an applet stored elsewhere you will get a "Cannot locate PythonCore" error message. Things to see ------------- Start off at Mac:Demo:index.html. Read at least the first few sections. There are also some interesting files in the "Relnotes" folder that may contain useful information. There is also a first stab at documentation (plus examples) in the Mac:Demo folder. The toplevel Demo folder has machine-independent demos. The Mac:Lib:test folder also has some programs that show simple capabilities of various modules. The ":Mac:scripts" folder has some sample scripts. Some are useful, some are just interesting to look at to see how various things work. The MkDistr, mkapplet and fullbuild scripts (plus the ones mentioned above) may help you to understand how to use AppleEvents and various other toolboxes from python. Other mac-specific goodies can be found in :Mac:Tools, of which the IDE sources and a CGI framework deserve special mention. The 'img' group of modules, which handles I/O of many different image formats is included, but without documentation. You can find docs at ftp://ftp.cwi.nl/pub/jack/python/img (or somewhere around there). Finally there is a Mac:Contrib folder which contains some contributed software. Upgrading from older Python releases ------------------------------------ Python releases are independent of each other, with separate Preferences files, shared library names, etc. The good news is that this means you can keep your older version around if you are unsure whether to upgrade. The bad news is that your old preference settings are lost and you have to set them again. After you are satisfied that 2.2.1 works as expected you can trash anything in the system folder that has "python" in the name and not "2.2.1". The ConfigurePython... applets will try to detect incompatible preferences files and offer to remove them. This means that re-running ConfigurePython after a second install of the same MacPython version (or after moving the Python folder) should fix things up correctly. The installer ------------- The installer for this product was created using Installer VISE from MindVision Software. For more information on Installer VISE, contact: MindVision Software 7201 North 7th Street Lincoln, NE 68521-8913 Voice: 402-477-3269 Fax: 402-477-1395 Internet: mindvision@mindvision.com http://www.mindvision.com Just van Rossum created the initial version of the installer (with Installer Vise Lite), and Jack worked from there. Thanks! ------- Thanks go to the whole Python community with Guido in the lead, of course. Mac-specific thanks go to the pythonmac-sig, Just van Rossum, Corran Webster, Tony Ingraldi, Erik van Blokland, Bill Bedford, Chris Stern, Gordon Worley, Oliver Steele, M. Papillon, Steven Majewski, David Goodger, Chris Barker, Luc Lefebvre, Tattoo Mabonzo K., Russell Finn, Tom Bridgman, Russel Owen, Pascal Oberndoerfer, Dean Draayer, Alexandre Parenteau, Donovan Preston, Daniel Brotsky, Jason Harper, Nitin Ganatra, and all the other people who provided feedback, code or both! MacPython includes waste, a TextEdit replacement which is (c) 1998 Marco Piovanelli. A special mention is deserved by Matthias Neeracher, who has written the brilliant unix-compatible GUSI I/O library, without which MacPython would not have sockets or select, and to Alexandre Parenteau, who has ported this library to Carbon. Feedback -------- Send bug reports, suggestions, contributions and fanmail to . However, a better way to discuss MacPython is to join the mailing list, which is explicitly meant for this purpose. Jack Jansen CWI Kruislaan 413 1098 SJ Amsterdam the Netherlands , http://www.cwi.nl/~jack