Celestin Apprentice 2/Apprentice-Release2.iso/Information/Languages/Python/python-faq⁄part1

Text File | 1994-12-03 | 69.8 KB | 1,387 lines | [TEXT/R*ch]

Newsgroups: comp.lang.python,comp.answers,news.answers
Path: bloom-beacon.mit.edu!hookup!news.moneng.mei.com!howland.reston.ans.net!news.sprintlink.net!EU.net!sun4nl!cwi.nl!guido
From: [e-mail] (Guido van Rossum)
Subject: FAQ: Python -- an object-oriented language
Message-ID: <[e-mail]>
Followup-To: comp.lang.python
Originator: [e-mail]
Sender: [e-mail] (The Daily Dross)
Nntp-Posting-Host: voorn.cwi.nl
Reply-To: [e-mail] (Guido van Rossum)
Organization: CWI, Amsterdam
Date: Thu, 10 Nov 1994 23:10:25 GMT
Approved: [e-mail]
Lines: 1629
Xref: bloom-beacon.mit.edu comp.lang.python:2571 comp.answers:8281 news.answers:29141

Archive-name: python-faq/part1
Version: 1.16
Last-modified: 10 November 1994

This article contains answers to Frequently Asked Questions about
Python (an object-oriented interpreted programming language -- see
the answer to question 1.1 for a short overview).

Copyright 1993, 1994 Guido van Rossum.  Unchanged electronic
redistribution of this FAQ is allowed.  Printed redistribution only
with permission of the author.  No warranties.

Author's address:
    Guido van Rossum
    CWI, dept. CST
    Kruislaan 413
    P.O. Box 94079
    1090 GB  Amsterdam
    The Netherlands
Email:    [e-mail]

The latest version of this FAQ is available by anonymous ftp from
ftp.cwi.nl [192.16.191.128] in the directory /pub/python, with
filename python-FAQ.  It will also be posted regularly to the
newsgroups comp.answers and comp.lang.python.

Many FAQs, including this one, are available by anonymous ftp from
rtfm.mit.edu [18.181.0.24] in the directory pub/usenet/news.answers.
The name under which a FAQ is archived appears in the Archive-name line
at the top of the article.  This FAQ is archived as python-faq/part1.

There's a mail server on that machine which will send you files from
the archive by e-mail if you have no ftp access.  You send a e-mail
message to [e-mail] containing the single word help in
the message body to receive instructions.

Skip Montanaro <[e-mail]> maintains an HTML version of this
FAQ.  The URL is <http://www.automatrix.com/~skip/python-faq.html>.

This FAQ is divided in the following chapters:

 1. General information and availability
 2. Python in the real world
 3. Building Python
 4. Programming in Python
 5. Extending Python
 6. Python's design
 7. Using Python on non-UNIX platforms

To find the start of a particular chapter, search for the chapter number
followed by a dot and a space at the beginning of a line (e.g. to
find chapter 4 in vi, type /^4\. /).

Here's an overview of the questions per chapter:

 1. General information and availability
  1.1. Q. What is Python?
  1.2. Q. Why is it called Python?
  1.3. Q. How do I obtain a copy of the Python source?
  1.4. Q. How do I get documentation on Python?
  1.5. Q. Are there other ftp sites that mirror the Python distribution?
  1.6. Q. Is there a newsgroup or mailing list devoted to Python?
  1.7. Q. Is there a book on Python, or will there be one out soon?
  1.8. Q. Are there any published articles about Python that I can quote?
  1.9. Q. How does the Python version numbering scheme work?
  1.10. Q. Are there other ftp sites that carry Python related material?
  1.11. Q. Are there copyright restrictions on the use of Python?

 2. Python in the real world
  2.1. Q. How many people are using Python?
  2.2. Q. Have any significant projects been done in Python?
  2.3. Q. Are there any commercial projects going on using Python?
  2.4. Q. How stable is Python?
  2.5. Q. When will the next version be released?
  2.6. Q. What new developments are expected for Python in the future?
  2.7. Q. Is it reasonable to propose incompatible changes to Python?

 3. Building Python
  3.1. Q. Is there a test set?
  3.2. Q. When running the test set, I get complaints about floating point
       operations, but when playing with floating point operations I cannot
       find anything wrong with them.
  3.3. Q. Link errors building Python with STDWIN 0.9.8. on SGI IRIX.
  3.4. Q. Link errors building Python with STDWIN 0.9.9.
  3.5. Q. Link errors after rerunning the configure script.
  3.6. Q. The python interpreter complains about options passed to a
       script (after the script name).
  3.7. Q. When building on the SGI, make tries to run python to create
       glmodule.c, but python hasn't been built or installed yet.
  3.8. Q. Python built with gcc for the DEC Alpha doesn't work.
  3.9. Q. I use VPATH but some targets are built in the source directory.
  3.10. Q. Trouble building or linking with thPython's power stems
from the standard or built-in types, functions and modules, all of
which are described here.  PostScript for a high-level description of
Python is in the file nluug-paper.ps.

1.5. Q. Are there other ftp sites that mirror the Python distribution?

A. The following sites keep mirrors of the Python distribution:

Site            IP address     Directory

gatekeeper.dec.com    16.1.0.2    /pub/plan/python
ftp.uu.net        192.48.96.9    /languages/python
ftp.wustl.edu        128.252.135.4    /graphics/graphics/sgi-stuff/python
ftp.funet.fi        128.214.6.100    /pub/languages/python
ftp.fu-berlin.de    130.133.1.18    /unix/languages/python (*python* only)
ftp.sunet.se        130.238.127.3    /pub/lang/python
unix.hensa.ac.uk    129.12.43.16    /uunet/languages/python
ftp.sterlng.com         192.124.9.3     /programming/languages/python

Or try archie on e.g. "python1." to locate the nearest copy of that
version...

1.6. Q. Is there a newsgroup or mailing list devoted to Python?

A. There is a newsgroup, comp.lang.python, and a mailing list.  The
newsgroup and mailing list are gatewayed into each other -- if you can
read news it's unnecessary to subscribe to the mailing list.  Send
e-mail to [e-mail] to (un)subscribe to the mailing
list.  Once you're on, send e-mail tp [e-mail] to send mail
to the entire mailing list and newsgroup.  Hypermail archives of
(nearly) everything posted to the mailing list (and thus the
newsgroup) are available -- the URL for the complete set of archives
is <http://www.cwi.nl/~guido/hypermail/index.html>.  The raw archives
are also available by ftp from ftp.cwi.nl in /pub/python (and most
mirrors), files mail*.gz.  The uncompressed versions of these files
can be read with the standard UNIX Mail program ("Mail -f file") or
with nn ("nn file").  To read them using MH, you could use "inc -file
file".

1.7. Q. Is there a book on Python, or will there be one out soon?

A. I am writing one.  Addison-Wesley is interested.  Optimistically,
it will be published by mid-1995.  Other authors are also working on
books...  (Do you guys want your name mentioned here?)

1.8. Q. Are there any published articles about Python that I can quote?

A. So far the only refereed and published article that describes
Python in some detail is:

    Guido van Rossum and Jelke de Boer, "Interactively Testing Remote
    Servers Using the Python Programming Language", CWI Quarterly, Volume
    4, Issue 4 (December 1991), Amsterdam, pp 283-303.

LaTeX source for this paper is available as part of the Python source
distribution.

A more recent high-level description of Python is:

    Guido van Rossum, "An Introduction to Python for UNIX/C
    Programmers", in the proceedings of the NLUUG najaarsconferentie
    1993 (dutch UNIX users group meeting November 1993).

PostScript for this paper and for the slides used for the accompanying
presentation can be found in the ftp directory mentioned a few
questions earlier, with filenames nluug-paper.ps and nluug-slides.ps,
respectively.

1.9. Q. How does the Python version numbering scheme work?

A. Python versions are numbered A.B.C.  A is the major version number
-- it is only incremented for major changes in functionality or source
structure.  B is the minor version number, incremented for less
earth-shattering changes to a release.  C is the patchlevel -- it is
incremented for each new release.  Note that in the past, patches have
added significant changes; in fact the changeover from 0.9.9 to 1.0.0
was the first time that either A or B changed!

1.10. Q. Are there other ftp sites that carry Python related material?

A. An interesting ftp site for Python users is ftp.markv.com
(192.122.251.1); the directory pub/python contains a growing
collection of interesting Python scripts.  To submit a script for
inclusion, place it together with a readme file (with extension
.readme) in the publicly writable directory /incoming/python.  This
service is maintained by Lance Ellinghouse <[e-mail]>.

1.11. Q. Are there copyright restrictions on the use of Python?

A. Hardly.  You can do anything you want with the source, as long as
you leave the copyrights in, display those copyrights in any
documentation about Python that you produce, don't use the author's
institute's name in publicity without prior written permission, and
don't hold them responsible for anything (read the actual copyright
for a precise legal wording).


2. Python in the real world
===========================

2.1. Q. How many people are using Python?

A. I don't know, but the maximum number of simultaneous subscriptions
to the Python mailing list before it was gatewayed into the newsgroup
was about 180 (several of which were local redistribution lists).  I
believe that many active Python users don't bother to subscribe to the
list, and now that there's a newsgroup the mailing list subscription
is even less meaningful.  I see new names on the newsgroup all the
time and my best guess is that there are currently at least several
thousands of users.

2.2. Q. Have any significant projects been done in Python?

A. Here at CWI (the home of Python), we have written a 20,000 line
authoring environment for transportable hypermedia presentations, a
5,000 line multimedia teleconferencing tool, as well as many many
smaller programs.

The University of Virginia uses Python to control a virtual reality
engine.  Contact: Matt Conway <[e-mail]>.

If you have done a significant project in Python that you'd like to be
included in the list above, send me email!

2.3. Q. Are there any commercial projects going on using Python?

A. Several companies have revealed to me that they are planning or
considering to use Python in a future product.

The furthest is Sunrise Software, who already have a product out using
Python -- they use Python for a GUI management application and an SNMP
network management application.  Contact: <[e-mail]>.

Infoseek is using Python to implement their commercial WWW information
retrieval service.  Contact: <[e-mail]>.

Michael Powers of daVinci Time & Space is "writing tons-o-python for
interactive television entertainment."  Contact: <[e-mail]>.

Individuals at many other companies are using Python for
internal development (witness their contributions to the Python
mailing list or newsgroup).

Python has also been elected as an extension language by MADE, a
consortium supported by the European Committee's ESPRIT program and
consisting of Bull, CWI and some other European companies.  Contact:
Ivan Herman <[e-mail]>.

If you'd like to be included in the list above, send me email!

2.4. Q. How stable is Python?

A. Very stable.  While the current version number would suggest it is
in the early stages of development, in fact new, stable releases
(numbered 0.9.x and 1.0.x) have been coming out roughly every 3 to 6
months for the past four years.

2.5. Q. When will the next version be released?

A. I am planning to release 1.1 before October 15.  It will contain
tons of changes, including (again) improved portability, especially
better support for DOS, Windows, Windows NT an the Macintosh.  A few
modules will have been converted to the new naming scheme.  A working
signal module will be present.

2.6. Q. What new developments are expected for Python in the future?

A.  A proposal is being worked out to change the semantics of operator
overloading (__add__, __mul__ etc.) to make them more useful for
implementing types that don't resemble numbers.  Additions will be
__call__ (to call an instance as if it were a function) and __eq__,
_lt__ etc. (to override individual comparisons).  A (new) pthreads
interface has been submitted which will be integrated in the next
release.  The X11/Motif interface will be improved.  There are ideas
about built-in help using strings placed into function objects, and
possibly a switch statement.

There will be better ports to the Mac, DOS, Windows, Windows NT, and
OS/2.  The Windows ports will support dynamically loaded modules using
DLLs.

Also planned is improved support for embedding Python in other
applications, e.g. by renaming most global symbols to have a "Py"
prefix and providing more documentation and threading support.

2.7. Q. Is it reasonable to propose incompatible changes to Python?

A. In general, no.  There are already millions of lines of Python code
around the world, so any changes in the language that invalidates more
than a very small fraction of existing programs has to be frowned
upon.  Even if you can provide a conversion program, there still is
the problem of updating all documentation.  Providing a gradual
upgrade path is the only way if a feature has to be changed.


3. Building Python
==================

3.1. Q. Is there a test set?

A. Yes, simply do "import testall" (or "import autotest" if you aren't
interested in the output).  The standard modules whose name begins
with "test" together comprise the test.  The test set doesn't test
*all* features of Python but it goes a long way to confirm that a new
port is actually working.  The Makefile contains an entry "make test"
which runs the autotest module.

3.2. Q. When running the test set, I get complaints about floating point
operations, but when playing with floating point operations I cannot
find anything wrong with them.

A. The test set makes occasional unwarranted assumptions about the
semantics of C floating point operations.  Until someone donates a
better floating point test set, you will have to comment out the
offending floating point tests and execute similar tests manually.

3.3. Q. Link errors building Python with STDWIN 0.9.8. on SGI IRIX.

A. Get STDWIN 0.9.9 from ftp://ftp.cwi.nl/pub/stdwin/stdwin0.9.9.tar.gz.

3.4. Q. Link errors building Python with STDWIN 0.9.9.

A. Probably routines liek 'tereate', 'tenew' etc.  The STDWIN 0.9.9
distribution requires that you add TWO libraries from stdwin to the
line for stdwin in the Setupfile.  Use something like this (all on one
line!):

stdwin stdwinmodule.c -I$(STDWIN)/H $(STDWIN)/Packs/textedit/libtextedit.a $(STDWIN)/Ports/x11/libstdwin.a -lX11

3.5. Q. Link errors after rerunning the configure script.

A. It is generally necessary to run "make clean" after a configuration
change.

3.6. Q. The python interpreter complains about options passed to a
script (after the script name).

A. You are probably linking with GNU getopt, e.g. through -liberty.
Don't.  The reason for the complaint is that GNU getopt, unlike System
V getopt and other getopt implementations, doesn't consider a
non-option to be the end of the option list.  A quick (and compatible)
fix for scripts is to add "--" to the interpreter, like this:

    #! /usr/local/bin/python --

You can also use this interactively:

    python -- script.py [options]

3.7. Q. When building on the SGI, make tries to run python to create
glmodule.c, but python hasn't been built or installed yet.

A. Comment out the line mentioning glmodule.c in Setup and build a
python without gl first; install it or make sure it is in your $PATH,
then edit the Setup file again to turn on the gl module, and make
again.  You don't need to do "make clean"; you do need to run "make
Makefile" in the Modules subdirectory (or just run "make" at the
toplevel).

3.8. Q. Python built with gcc for the DEC Alpha doesn't work.

People have reported problems with both gcc 2.5.8 and 2.6.0.  The DEC
OSF/1 cc compiler does not have these problems so it's probably gcc's
fault.  One person reported that the problem went away when using -g
instead of -O so this may be an option if you insist on using gcc.  If
someone tracks it down more completely I'd like to hear about it!

3.9. Q. I use VPATH but some targets are built in the source directory.

A. On some systems (e.g. Sun), if the target already exists in the
source directory, it is created there instead of in the build
directory.  This is usually because you have previously built without
VPATH.  Try running "make clobber" in the source directory.

3.10. Q. Trouble building or linking with the GNU readline library.

A. Consider using readline 2.0.  From the Python 1.1 README:

- You can use the GNU readline library to improve the interactive user
interface: this gives you line editing and command history when
calling python interactively. You need to configure build the GNU
readline library before running the configure script. Its sources are
no longer distributed with Python; you can ftp them from any GNU
mirror site, or from its home site:
ftp://slc2.ins.cwru.edu/pub/dist/readline-2.0.tar.gz (or a higher
version number -- using version 1.x is not recommended). Pass the
Python configure script the option --with-readline=DIRECTORY where
DIRECTORY is the absolute pathname of the directory where you've built
the readline library. Some hints on building and using the readline
library:

- On SGI IRIX 5, you may have to add the following
to rldefs.h:

#ifndef sigmask
#define sigmask(sig) (1L << ((sig)-1))
#endif

- On most systems, you will have to add #include "rldefs.h" to the
top of several source files, and if you use the VPATH feature, you
will have to add dependencies of the form foo.o: foo.c to the
Makefile for several values of foo.

- The readline library requires use of the termcap library. A
known problem with this is that it contains entry points which
cause conflicts with the STDWIN and SGI GL libraries. The STDWIN
conflict can be solved (and will be, in the next release of
STDWIN) by adding a line saying '#define werase w_erase' to the
stdwin.h file (in the STDWIN distribution, subdirectory H). The
GL conflict has been solved in the Python configure script by a
hack that forces use of the static version of the termcap library.

- Check the newsgroup gnu.bash.bugs for specific problems with the
readline library (I don't get this group here but I've been told
that it is the place for readline bugs.)

3.11. Q. Trouble building Python on Linux.

A. There shouldn't be any -- I've seen several complaints but more
reports on successful "out-of-the-box" ports on Linux.  The standard
configure script runs just fine on Linux.

3.12. Q. Trouble with prototypes on Ultrix.

A. Ultrix cc seems broken -- use gcc, or edit config.h to #undef
HAVE_PROTOTYPES.

3.13. Q. Trouble with posix.listdir on NeXTSTEP 3.2.

A. The problem seems to be that that the NeXT posix library and the
NeXT dynamic loading library are incompatible.  Mike Carlton reports
that the following worked for him (from a clean 1.1 distribution):

    1) ./configure
    2) edited config.status and changed
        OPT='-O'
       to
        OPT='-posix -O'
    3) edited Python/import.c and commented out the section
        #if defined(NeXT) || defined(WITH_RLD)
        #define DYNAMIC_LINK
        #define USE_RLD
        #endif
       this disables dynamic loading
    4) make

3.14. Q. Other trouble building Python on platform X.

A. Please email the details to <[e-mail]> and I'll look into it.


4. Programming in Python
========================

4.1. Q. Is there a source code level debugger with breakpoints, step,
etc.?

A. Yes.  Check out module pdb; pdb.help() prints the documentation (or
you can read it as Lib/pdb.doc).  If you use the STDWIN option,
there's also a windowing interface, wdb.  You can write your own
debugger by using the code for pdb or wdb as an example.

4.2. Q. Can I create an object class with some methods implemented in
C and others in Python (e.g. through inheritance)?  (Also phrased as:
Can I use a built-in type as base class?)

A. No, but you can easily create a Python class which serves as a
wrapper around a built-in object, e.g. (for dictionaries):

    # A user-defined class behaving almost identical
    # to a built-in dictionary.
    class UserDict:
        def __init__(self): self.data = {}
        def __repr__(self): return repr(self.data)
        def __cmp__(self, dict):
            if type(dict) == type(self.data):
                return cmp(self.data, dict)
            else:
                return cmp(self.data, dict.data)
        def __len__(self): return len(self.data)
        def __getitem__(self, key): return self.data[key]
        def __setitem__(self, key, item): self.data[key] = item
        def __delitem__(self, key): del self.data[key]
        def keys(self): return self.data.keys()
        def items(self): return self.data.items()
        def values(self): return self.data.values()
        def has_key(self, key): return self.data.has_key(key)

4.3. Q. Is there a curses/termcap package for Python?

A. Yes -- Lance Ellinghouse has written a module that interfaces to
System V's "ncurses".  If you know a little curses and some Python,
it's straightforward to use.

You could also consider using the "alfa" (== character cell) version
of STDWIN.  (STDWIN == Standard Windows, a portable windowing system
interface by the same author, URL: "ftp://ftp.cwi.nl/pub/stdwin".)  This
will also prepare your program for porting to windowing environments
such as X11 or the Macintosh.

4.4. Q. Is there an equivalent to C's onexit() in Python?

A. Yes, if you import sys and assign a function to sys.exitfunc, it
will be called when your program exits, is killed by an unhandled
exception, or (on UNIX) receives a SIGHUP or SIGTERM signal.

4.5. Q. When I define a function nested inside another function, the
nested function seemingly can't access the local variables of the
outer function.  What is going on?  How do I pass local data to a
nested function?

A. Python does not have arbitrarily nested scopes.  When you need to
create a function that needs to access some data which you have
available locally, create a new class to hold the data and return a
method of an instance of that class, e.g.:

    class MultiplierClass:
        def __init__(self, factor):
            self.factor = factor
        def multiplier(self, argument):
            return argument * self.factor

    def generate_multiplier(factor):
        return MultiplierClass(factor).multiplier

    twice = generate_multiplier(2)
    print twice(10)
    # Output: 20

4.6. Q. How do I iterate over a sequence in reverse order?

A. If it is a list, the fastest solution is

    list.reverse()
    try:
        for x in list:
            "do something with x"
    finally:
        list.reverse()

This has the disadvantage that while you are in the loop, the list
is temporarily reversed.  If you don't like this, you can make a copy.
This appears expensive but is actually faster than other solutions:

    rev = list[:]
    rev.reverse()
    for x in rev:
        <do something with x>

If it isn't a list, a more general but slower solution is:

    i = len(list)
    while i > 0:
        i = i-1
        x = list[i]
        <do something with x>

A more elegant solution, is to define a class which acts as a sequence
and yields the elements in reverse order (solution due to Steve
Majewski):

    class Rev:
        def __init__(self, seq):
            self.forw = seq
        def __len__(self):
            return len(self.forw)
        def __getitem__(self, i):
            return self.forw[-(i + 1)]

You can now simply write:

    for x in Rev(list):
        <do something with x>

Unfortunately, this solution is slowest of all, due to the method
call overhead...

4.7. Q. My program is too slow.  How do I speed it up?

A. That's a tough one, in general.  There are many tricks to speed up
Python code; I would consider rewriting parts in C only as a last
resort.  One thing to notice is that function and (especially) method
calls are rather expensive; if you have designed a purely OO interface
with lots of tiny functions that don't do much more than get or set an
instance variable or call another method, you may consider using a
more direct way, e.g. directly accessing instance variables.  Also see
the standard module "profile" (described in the file
"python/lib/profile.doc") which makes it possible to find out where
your program is spending most of its time (if you have some patience
-- the profiling itself can slow your program down by an order of
magnitude).

4.8. Q. When I have imported a module, then edit it, and import it
again (into the same Python process), the changes don't seem to take
place.  What is going on?

A. For efficiency reasons, Python only reads the module file on the
first time a module is imported (otherwise a program consisting of
many modules, each of which imports the same basic module, would read
the basic module over and over again).  To force a changed module
being read again, do this:

    import modname
    reload(modname)

Warning: this technique is not 100% fool-proof.  In particular,
modules containing statements like

    from modname import some_objects

will continue to work with the old version of the imported objects.

4.9. Q. How do I find the current module name?

A. A module can find out its own module name by looking at the
(predefined) global variable __name__.  If this has the value
'__main__' you are running as a script.

4.10. Q. I have a module in which I want to execute some extra code when it
is run as a script.  How do I find out whether I am running as a
script?

A. See the previous question.  E.g. if you put the following on the
last line of your module, main() is called only when your module is
running as a script:

    if __name__ == '__main__': main()

4.11. Q. I try to run a program from the Demo directory but it fails with
ImportError: No module named ...; what gives?

A. This is probably an optional module (written in C!) which hasn't
been configured on your system.  This especially happens with modules
like "stdwin", "gl", "Xt" or "Xm".  For STDWIN and many other modules,
see Modules/Setup.in for info on how to add these modules to your
Python, if it is possible at all.  Sometimes you will have to ftp and
build another package first (e.g. STDWIN).  Sometimes the module only
works on specific platforms (e.g. gl only works on SGI machines).

For X-related modules (Xt and Xm) you will have to do more work: they
are currently not part of the standard Python distribution.  You will
have to ftp the file "extensions.tar.gz" file from a Python ftp
repository (e.g. ftp.cwi.nl) and follow the instructions there.  Note:
the X related modules are still somewhat flakey, so don't try this
unless you alread know a bit or two about building X applications on
your platform.

See also the next question.

4.12. Q. I have successfully built Python with STDWIN but it can't
find some modules (e.g. stdwinevents).

A. There's a subdirectory of the library directory named 'stdwin'
which should be in the default module search path.  There's a line in
Modules/Setup(.in) that you have to enable for this purpose --
unfortunately in the latest release it's not near the other
STDWIN-related lines so it's easy to miss it.

4.13. Q. What GUI toolkits exist for Python?

A. Depending on what platform(s) you are aiming at, there are several.

- There's a neat object-oriented interface to the Tcl/Tk widget set,
called Tkinter.  You can ftp it from ftp.cwi.nl as
pub/python/tkinter.tar.gz.  This is probably the easiest to install
and use, and the most complete widget set.

- The standard Python distribution comes with an interface to STDWIN,
a platform-independent low-level windowing interface (you have to ftp
the source for STDWIN separately, e.g. from ftp.cwi.nl in pub/stdwin
or gatekeeper.dec.com in pub/misc/stdwin).  STDWIN runs under X11 or
the Mac; a Windows port has been attempted but I can't seem to get it
working.  Note that STDWIN is really not powerful enough to implement
a modern GUI (no widgets, etc.) and that I don't have the time to
maintain or extend it, so you may be better off using Tkinter or the
Motif interface, unless you require portability to the Mac (which is
also offered by SUIT, by the way -- see below).

- For SGI IRIX only, there's an interface to the complete GL (Graphics
Library -- low level but very good 3D capabilities) as well as to
FORMS (a buttons-and-sliders-etc package built on top of GL by Mark
Overmars -- ftp'able from ftp.cs.ruu.nl in pub/SGI/FORMS).

- There's an interface to X11, including the Athena and Motif widget
sets (and a few individual widgets, like Mosaic's HTML widget and
SGI's GL widget) in the Extensions set, which is separately ftp'able
from ftp.cwi.nl as pub/python/extensions.tar.gz.

- There's an interface to SUIT, the U of Virginia's Simple User
Interface Toolkit; it can be ftp'ed from uvacs.cs.virginia.edu as
pub/suit/python/SUIT_python.tar.Z.  A PC binary of Python 1.0.2
compiled with DJGPP and with SUIT support built-in has been made
available by Antonio Costa on ftp site asterix.inescn.pt, directory
pub/PC/python, file pyt102su.exe (a self-extracting archive).

- There's an interface to WAFE, a Tcl interface to the X11 Motif and
Athena widget sets.  Last I heard about it it was included in the
WAFE 1.0 prerelease, ftp'able from ftp.wu-wien.ac.at as
pub/src/X11/wafe/wafe-1.0.tar.gz-prerelease.

4.14. Q. Are there any interfaces to database packages in Python?

A. There's an interface to SYBASE by John Redford
<[e-mail]>.

There's also an interface to metalbase by Lance Ellinghouse
<[e-mail]>.

Anthony Baxter <[e-mail]> has written an interface to
mSQL (mini-SQL).  Ftp it from ftp.cwi.nl:/pub/python/PymSQL.tar.gz.

4.15. Q. Is it possible to write obfuscated one-liners in Python?

A. Yes.  See the following three examples, due to Ulf Bartelt:

# Primes < 1000
print filter(None,map(lambda y:y*reduce(lambda x,y:x*y!=0,\
map(lambda x,y=y:y%x,range(2,int(pow(y,0.5)+1))),1),range(2,1000)))

# First 10 Fibonacci numbers
print map(lambda x,f=lambda x,f:(x<=1) or (f(x-1,f)+f(x-2,f)): f(x,f),\
range(10))

# Mandelbrot set
print (lambda Ru,Ro,Iu,Io,IM,Sx,Sy:reduce(lambda x,y:x+y,map(lambda y,\
Iu=Iu,Io=Io,Ru=Ru,Ro=Ro,Sy=Sy,L=lambda yc,Iu=Iu,Io=Io,Ru=Ru,Ro=Ro,i=IM,\
Sx=Sx,Sy=Sy:reduce(lambda x,y:x+y,map(lambda x,xc=Ru,yc=yc,Ru=Ru,Ro=Ro,\
i=i,Sx=Sx,F=lambda xc,yc,x,y,k,f=lambda xc,yc,x,y,k,f:(k<=0)or (x*x+y*y\
>=4.0) or 1+f(xc,yc,x*x-y*y+xc,2.0*x*y+yc,k-1,f):f(xc,yc,x,y,k,f):chr(\
64+F(Ru+x*(Ro-Ru)/Sx,yc,0,0,i)),range(Sx))):L(Iu+y*(Io-Iu)/Sy),range(Sy\
))))(-2.1, 0.7, -1.2, 1.2, 30, 80, 24)
#    \___ ___/  \___ ___/  |   |   |__ lines on screen
#        V          V      |   |______ columns on screen
#        |          |      |__________ maximum of "iterations"
#        |          |_________________ range on y axis
#        |____________________________ range on x axis

Don't try this at home, kids!

4.16. Q. Is there an equivalent of C's "?:" ternary operator?

A. Not directly.  In many cases you can mimic a?b:c with "a and b or
c", but there's a flaw: if b is zero (or empty, or None -- anything
that tests false) then c will be selected instead.  In many cases you
can prove by looking at the code that this can't happen (e.g. because
b is a constant or has a type that can never be false), but in general
this can be a problem.

Steve Majewski (or was it Tim Peters?) suggested the following
solution: (a and [b] or [c])[0].  Because [b] is a singleton list it
is never false, so the wrong path is never taken; then applying [0] to
the whole thing gets the b or c that you really wanted.  Ugly, but it
gets you there in the rare cases where it is really inconvenient to
rewrite your code using 'if'.

4.17. Q. My class defines __del__ but it is not called when I delete the
object.

A. There are several possible reasons for this.

- The del statement does not necessarily call __del__ -- it simply
decrements the object's reference count, and if this reaches zero
__del__ is called.

- If your data structures contain circular links (e.g. a tree where
each child has a parent pointer and each parent has a list of
children) the reference counts will never go back to zero.  You'll
have to define an explicit close() method which removes those
pointers.  Please don't ever call __del__ directly -- __del__ should
call close() and close() should make sure that it can be called more
than once for the same object.

- If the object has ever been a local variable (or argument, which is
really the same thing) to a function that caught an expression in an
except clause, chances are that a reference to the object still exists
in that function's stack frame as contained in the stack trace.
Normally, deleting (better: assigning None to) sys.exc_traceback will
take care of this.  If you a stack was printed for an unhandled
exception in an interactive interpreter, delete sys.last_traceback
instead.

- There is code that deletes all objects when the interpreter exits,
but if your Python has been configured to support threads, it is not
called (because other threads may still be active).  You can define
your own cleanup function using sys.exitfunc (see question 4.4).

4.18. Q. How do I change the shell environment for programs called using
os.popen() or os.system()?  Changing os.environ doesn't work.

A. Modifying the environment passed to subshells was left out of the
interpreter because there seemed to be no well-established portable
way to do it.

However if all you want is to pass environment variables to the
commands run by os.system() or os.popen(), there's a simple solution:
prefix the command string with a couple of variable assignments and
export statements. I guess the following would be universal for popen
(untested):

import os
from commands import mkarg # nifty routine to add shell quoting
def epopen(cmd, mode, env = {}):
    # env is a dictionary of environment variables
    prefix = ''
    for key, value in env.values():
        prefix = prefix + '%s=%s\n' % (key, mkarg(value))
        prefix = prefix + 'export %s\n' % key
    return os.popen(prefix + cmd, mode)

4.19. Q. What is a class?

A. A class is the particular object type that is created by executing
a class statement.

4.20. Q. What is a method?

A. A method is a function that you normally call as
x.name(arguments...) for some object x.  The word is used for methods
of classes and class instances as well as for methods of built-in
objects.  The latter have a completely different implementation and
only share the way their calls look in Python code.

4.21. Q. What is self?

A. Self is merely a conventional name for the first argument of a
method -- i.e. a function defined inside a class definition.  A method
defined as meth(self, a, b, c) should be called as x.meth(a, b, c) for
some instance x of the class in which the definition occurs;
the called method will think it is called as meth(x, a, b, c).

4.22. Q. What is a unbound method?

A. An unbound method is a method defined in a class that is not yet
bound to an instance.  You get an unbound method if you ask for a
class attribute that happens to be a function. You get a bound method
if you ask for an instance attribute.  A bound method knows which
instance it belongs to and calling it supplies the instance automatically;
an unbound method only knows which class it wants for its first
argument (a derived class is also OK).  Calling an unbound method
doesn't "magically" derive the first argument from the context -- you
have to provide it explicitly.

4.23. Q. How do I call a method defined in a base class from a derived class
that overrides it?

A. If your class definition starts with "class Derived(Base): ..."
then you can call method meth defined in Base (or one of Base's base
classes) as Base.meth(self, arguments...).  Here, Base.meth is an
unbound method (see previous question).

4.24. Q. How do I call a method from a base class without using the name of
the base class?

A. DON'T DO THIS.  REALLY.  I MEAN IT.  It appears that you could call
self.__class__.__bases__[0].meth(self, arguments...) but this fails when
a doubly-derived method is derived from your class: for its instances,
self.__class__.__bases__[0] is your class, not its base class -- so
(assuming you are doing this from within Derived.meth) you would start
a recursive call.

4.25. Q. How can I organize my code to make it easier to change the base
class?

A. You could define an alias for the base class, assign the real base
class to it before your class definition, and use the alias throughout
your class.  Then all you have to change is the value assigned to the
alias.  Incidentally, this trick is also handy if you want to decide
dynamically (e.g. depending on availability of resources) which base
class to use.  Example:

BaseAlias = <real base class>
class Derived(BaseAlias):
    def meth(self):
        BaseAlias.meth(self)
        ...

4.26. Q. How can I find the methods or attributes of an object?

A. This depends on the object type.

For an instance x of a user-defined class, instance attributes are
found in the dictionary x.__dict__, and methods and attributes defined
by its class are found in x.__class__.__bases__[i].__dict__ (for i in
range(len(x.__class__.__bases__))).  You'll have to walk the tree of
base classes to find *all* class methods and attributes.

Many, but not all built-in types define a list of their method names
in x.__methods__, and if they have data attributes, their names may be
found in x.__members__.  However this is only a convention.

For more information, read the source of the standard (but
undocumented) module newdir.

4.27. Q. I can't seem to use os.read() on a pipe created with os.popen().

A. os.read() is a low-level function which takes a file descriptor (a
small integer).  os.popen() creates a high-level file object -- the
same type used for sys.std{in,out,err} and returned by the builtin
open() function.  Thus, to read n bytes from a pipe p created with
os.popen(), you need to use p.read(n).

4.28. Q. How can I create a stand-alone binary from a Python script?

The demo script "Demo/scripts/freeze.py" does what you want.  (It's
actually not a demo but a support tool -- there is some extra code in
the interpreter to accommodate it.)  It requires that you have the
Python build tree handy, complete with all the lib*.a files.

This works by scanning your source recursively for import statements
(both forms) and looking for the modules on the standard Python path
as well as in the source directory (for built-in modules).  It then
"compiles" the modules written in Python to C code (array initializers
that can be turned into code objects using the marshal module) and
creates a custom-made config file that only contains those built-in
modules which are actually used in the program.  It then compiles the
generated C code and links it with the rest of the Python interpreter
to form a self-contained binary which acts exactly like your script.

Unfortunately, the current version is very platform-specific, because
each platform has its own compilation flags and libraries to link
with.  You will probably have to edit the freeze.py file to point it
to the right directories and tell it about the compilation and link
flags for your platform.  A new version will be released with Python
1.1 -- if you want a peek write to my colleague <[e-mail]>.

4.29. Q. Is there a special lib for writing CGI scripts in Python?

A. There's documentation and code for a cgi.py module by Michael McLay
<[e-mail]> available from:

    http://www.eeel.nist.gov/python/

(For the curious: CGI or Common Gateway Interface is the protocol
between HTTP servers (WWW servers) and programs/scripts they run to
perform queries and other tasks that require returning a dynamically
generated document.)

4.30. Q. What other WWW tools are there for Python?

A. The standard library has a module urllib, which can retrieve most
commonly used URL types (file, ftp, http, gopher).

The Demo2/www directory (Demo2 has to be retrieved separately from the
Python ftp sites) contains some (really old) code to parse HTML and to
display it.

Steve Miale <[e-mail]> has written a modular WWW browser
called Dancer.  An alpha version can be FTP'ed from
ftp.cs.indiana.edu:/pub/smiale/dancer.tar.gz.  (There are a few
articles about Dancer in the (hyper)mail archive.)


5. Extending Python
===================

5.1. Q. Can I create my own functions in C?

A. Yes, you can create built-in modules containing functions,
variables, exceptions and even new types in C.  This is explained in
the document "Extending and Embedding the Python Interpreter" (the
LaTeX file Doc/ext.tex).  Also read the chapter on dynamic loading.

5.2. Q. Can I create my own functions in C++?

A. Yes, using the C-compatibility features found in C++.  Basically
you place extern "C" { ... } around the Python include files and put
extern "C" before each function that is going to be called by the
Python interpreter.  Global or static C++ objects with constructors
are probably not a good idea.

5.3. Q. How can I execute arbitrary Python statements from C?

A. The highest-level function to do this is run_command() which takes
a single string argument which is executed in the context of module
__main__ and returns 0 for success and -1 when an exception occurred
(including SyntaxError).  If you want more control, use run_string();
see the source for run_command() in Python/pythonrun.c.

5.4. Q. How can I evaluate an arbitrary Python expression from C?

A. Call the function run_string() from the previous question with the
start symbol eval_input; it then parses an expression, evaluates it
and returns its value.  See exec_eval() in Python/bltinmodule.c.

5.5. Q. How do I extract C values from a Python object?

A. That depends on the object's type.  If it's a tuple,
gettuplesize(o) returns its length and gettupleitem(o, i) returns its
i'th item; similar for lists with getlistsize(o) and getlistitem(o,
i).  For strings, getstringsize(o) returns its length and
getstringvalue(o) a pointer to its value (note that Python strings may
contain null bytes so strlen() is not safe).  To test which type an
object is, first make sure it isn't NULL, and then use
is_stringobject(o), is_tupleobject(o), is_listobject(o) etc.

5.6. Q. How do I use mkvalue() to create a tuple of arbitrary length?

A. You can't.  Use t = newtupleobject(n) instead, and fill it with
objects using settupleitem(t, i, o) -- note that this "eats" a
reference count of o.  Similar for lists with newlistobject(n) and
setlistitem(l, i, o).  Note that you *must* set all the tuple items to
some value before you pass the tuple to Python code --
newtupleobject(n) initializes them to NULL, which isn't a valid Python
value.

5.7. Q. What happened to mktuple(), featuring in an example in the
Extensions manual?

A. It's a typo, I meant newtupleobject() (see previous question).

5.8. Q. How do I call an object's method from C?

A. Here's a function (untested) that might become part of the next
release in some form.  It uses <stdarg.h> to allow passing the
argument list on to vmkvalue():

object *call_method(object *inst, char *methodname, char *format, ...)
{
    object *method;
    object *args;
    object *result;
    va_list va;
    method = getattr(inst, methodname);
    if (method == NULL) return NULL;
    va_start(va, format);
    args = vmkvalue(format, va);
    va_end(va);
    if (args == NULL) {
        DECREF(method);
        return NULL;
    }
    result = call_object(method, args);
    DECREF(method);
    DECREF(args);
    return result;
}

This works for any instance that has methods -- whether built-in or
user-defined.  You are responsible for eventually DECREF'ing the
return value.

To call, e.g., a file object's "seek" method with arguments 10, 0
(assuming the file object pointer is "f"):

res = call_method(f, "seek", "(OO)", 10, 0);
if (res == NULL) {
    ... an exception occurred ...
}
else {
    DECREF(res);
}

Note that since call_object() *always* wants a tuple for the argument
list, to call a function without arguments, pass "()" for the format,
and to call a function with one argument, surround the argument in
parentheses, e.g. "(i)".

5.9. Q. How do I catch the output from print_error()?

A. (Due to Mark Hammond):

* in Python code, define an object that supports the "write()" method.
FWIW, there seems to be a small problem that requires the 'softspace'
attribute to be defined too (I can't remember exact details of the
problem).

* redirect sys.stdout and sys.stderr to this object.

* call print_error, or just allow the standard traceback mechanism to
work.

Then, the output will go wherever your write() method sends it.

5.10. Q. How do I access a module written in Python from C?

A. You can get a pointer to the module object as follows:

    module = import_module("<modulename>");

If the module hasn't been imported yet (i.e. it is not yet present in
sys.modules), this initializes the module; otherwise it simply returns
the value of sys.modules["<modulename>"].  Note that it doesn't enter
the module into any namespace -- it only ensures it has been
initialized and is stored in sys.modules.

You can then access the module's attributes (i.e. any name defined in
the module) as follows:

    attr = getattr(module, "<attrname>");

Calling setattr(), to assign to variables in the module, also works.


6. Python's design
==================

6.1. Q. Why isn't there a generic copying operation for objects in
Python?

A. Hmm.  Maybe there should be one, but it's difficult to assign a
useful meaning to copying of open files, sockets and windows, or
recursive data structures.  As long as you design all your classes
yourself you are of course free to define a standard base class that
defines an overridable copying operation for all the objects you care
about.  (One practical point: it would have to be a built-in function,
not a standard method name, since not all built-in object types have
methods; e.g. strings, integers and tuples don't.)

6.2. Q. Why isn't there a generic way to implement persistent objects
in Python?  (Persistent == automatically saved to and restored from
disk.)

A. Hmm, hmm.  Basically for the same reasons as why there is no
generic copying operation.

However, since there is a real desire to have persistent operations,
I'm thinking of extending the marshal module to support object sharing
(and hence recursive objects) and to extend the list of supported
types considerably.  For user-defined classes, hooks with __*__ names
will allow the class to modify the way their instances are dumped and
loaded.  Built-in types (including those defined by new extensions)
may also define dump/load hooks.  There are several problems still to
solve, e.g. how do you reliably find the class of which an object is
an instance at load time -- assuming the class itself is loaded from
some module, and not part of the dumped data.  It is also necessary to
separate the functionality of converting a set of objects into a byte
stream from which they can be reloaded, from the ability to save these
byte streams as files and being able to reference an object by a
persistent global name.

6.3. Q. Why isn't there a switch or case statement in Python?

A. You can do this easily enough with a sequence of
if... elif... elif... else.  There have been some proposals for switch
statement syntax, but there is no consensus (yet) on whether and how
to do range tests.

6.4. Q. Why does Python use indentation for grouping of statements?

A. Basically I believe that using indentation for grouping is
extremely elegant and contributes a lot to the clarity of the average
Python program.  Most people learn to love this feature after a while.
Some arguments for it:

- Since there are no begin/end brackets there cannot be a disagreement
between grouping perceived by the parser and the human reader.  I
remember long ago seeing a C fragment like this:

    if (x <= y)
        x++;
        y--;
    z++;

and staring a long time at it wondering why y was being decremented
even for x > y...  (And I wasn't a C newbie then either.)

- Since there are no begin/end brackets there can be no conflicting
coding styles.  In C there are loads of different ways to place the
braces (including the choice whether to place braces around single
statements in certain cases, for consistency).  If you're used to
reading (and writing) code that uses one style, you will feel at least
slightly uneasy when reading (or being required to write) another
style.

- Many coding styles place begin/end brackets on a line by themself.
This makes programs considerably longer and wastes valuable screen
space, making it harder to get a good overview over a program.
Ideally, a function should fit on one basic tty screen (say, 20
lines).  20 lines of Python are worth a LOT more than 20 lines of C.
This is not solely due to the lack of begin/end brackets (the lack of
declarations also helps, and the powerful operations of course), but
it certainly helps!

6.5. Q. Why are Python strings immutable?

A. There are two advantages.  One is performance: knowing that a
string is immutable makes it easy to lay it out at construction time
-- fixed and unchanging storage requirements.  (This is also one of
the reasons for the distinction between tuples and lists.)  The
other is that strings in Python are considered as "elemental" as
numbers.  No amount of activity will change the value 8 to anything
else, and in Python, no amount of activity will change the string
"eight" to anything else.  (Adapted from Jim Roskind)

6.6. Q. Why don't strings have methods like index() or sort(), like
lists?

A. Good question.  Strings currently don't have methods at all
(likewise tuples and numbers).  Long ago, it seemed unnecessary to
implement any of these functions in C, so a standard library module
"string" written in Python was created that performs string related
operations.  Since then, the cry for performance has moved most of
them into the built-in module strop (this is imported by module
string, which is still the preferred interface, without loss of
performance except during initialization).  Some of these functions
(e.g. index()) could easily be implemented as string methods instead,
but others (e.g. sort()) can't, since their interface prescribes that
they modify the object, while strings are immutable (see the previous
question).

6.7. Q. Why does Python use methods for some functionality
(e.g. list.index()) but functions for other (e.g. len(list))?

A. Functions are used for those operations that are generic for a
group of types and which should work even for objects that don't have
methods at all (e.g. numbers, strings, tuples).  Also, implementing
len(), max(), min() as a built-in function is actually less code than
implementing them as methods for each type.  One can quibble about
individual cases but it's really too late to change such things
fundamentally now.

6.8. Q. Why can't I derive a class from built-in types (e.g. lists or
files)?

A. This is caused by the relatively late addition of (user-defined)
classes to the language -- the implementation framework doesn't easily
allow it.  See the answer to question 4.2 for a work-around.  This
*may* be fixed in the (distant) future.

6.9. Q. Why must 'self' be declared and used explicitly in method
definitions and calls?

A. By asking this question you reveal your C++ background. :-)
When I added classes, this was (again) the simplest way of
implementing methods without too many changes to the interpreter.  I
borrowed the idea from Modula-3.  It turns out to be very useful, for
a variety of reasons.

First, it makes it more obvious that you are using a method or
instance attribute instead of a local variable.  Reading "self.x" or
"self.meth()" makes it absolutely clear that an instance variable or
method is used even if you don't know the class definition by heart.
In C++, you can sort of tell by the lack of a local variable
declaration (assuming globals are rare or easily recognizable) -- but
in Python, there are no local variable declarations, so you'd have to
look up the class definition to be sure.

Second, it means that no special syntax is necessary if you want to
explicitly reference or call the method from a particular class.  In
C++, if you want to use a method from base class that is overridden in
a derived class, you have to use the :: operator -- in Python you can
write baseclass.methodname(self, <argument list>).  This is
particularly useful for __init__() methods, and in general in cases
where a derived class method wants to extend the base class method of
the same name and thus has to call the base class method somehow.

Lastly, for instance variables, it solves a syntactic problem with
assignment: since local variables in Python are (by definition!) those
variables to which a value assigned in a function body (and that
aren't explicitly declared global), there has to be some way to tell
the interpreter that an assignment was meant to assign to an instance
variable instead of to a local variable, and it should preferably be
syntactic (for efficiency reasons).  C++ does this through
declarations, but Python doesn't have declarations and it would be a
pity having to introduce them just for this purpose.  Using the
explicit "self.var" solves this nicely.  Similarly, for using instance
variables, having to write "self.var" means that references to
unqualified names inside a method don't have to search the instance's
directories.

6.10. Q. Can't you emulate threads in the interpreter instead of
relying on an OS-specific thread implementation?

A. Unfortunately, the interpreter pushes at least one C stack frame
for each Python stack frame.  Also, extensions can call back into
Python at almost random moments.  Therefore a complete threads
implementation requires thread support for C.

6.11. Q. Why can't lambda forms contain statements?

A. Python lambda forms cannot contain statements because Python's
syntactic framework can't handle statements nested inside functions.

However, in Python, this is not a serious problem.  Unlike lambda
forms in other languages, where they add functionality, Python lambdas
are only a shorthand notation if you're too lazy to define a function.

Functions are already first class objects in Python, and can be
declared in a local scope.  Therefore the only advantage of using a
lambda form instead of a locally-defined function is that you'll have
to invent a name for the function -- but that's just a local variable
to which the function object (which is exactly the same type of object
that a lambda form yields) is assigned!

6.12. Q. Why is there no more efficient way of iterating over a dictionary
than first constructing the list of keys()?

A. Have you tried it?  I bet it's fast enough for your purposes!  In
most cases such a list takes only a few percent of the space occupied
by the dictionary -- it needs only 4 bytes (the size of a pointer) per
key -- a dictionary costs 8 bytes per key plus between 30 and 70
percent hash table overhead, plus the space for the keys and values --
by necessity all keys are unique objects and a string object (the most
common key type) costs at least 18 bytes plus the length of the
string.  Add to that the values contained in the dictionary, and you
see that 4 bytes more per item really isn't that much more memory...

A call to dict.keys() makes one fast scan over the dictionary
(internally, the iteration function does exist) copying the pointers
to the key objects into a pre-allocated list object of the right size.
The iteration time isn't lost (since you'll have to iterate anyway --
unless in the majority of cases your loop terminates very prematurely
(which I doubt since you're getting the keys in random order).

I don't expose the dictionary iteration operation to Python
programmers because the dictionary shouldn't be modified during the
entire iteration -- if it is, there's a very small chance that the
dictionary is reorganized because the hash table becomes too full, and
then the iteration may miss some items and see others twice.  Exactly
because this only occurs rarely, it would lead to hidden bugs in
programs: it's easy never to have it happen during test runs if you
only insert or delete a few items per iteration -- but your users will
surely hit upon it sooner or later.


7. Using Python on non-UNIX platforms
=====================================

7.1. Q. Is there a Mac version of Python?

A. Yes.  It is on most ftp sites carrying Python as python.sea.hqx --
this is a self-extracting archive containing the application binary as
well as the Lib modules.

7.2. Q. Is there a DOS version of Python?

A. Yes.  More than one, actually: 16python.exe runs in standard DOS
mode on 186 CPUs or higher; 32python.exe uses a DOS extender and only
runs on a 386 or higher CPUs.  Although 16python.exe does not pass the
test set because test_grammar is too big for the parser, it actually
has about 270 kbyte of allocatable heap space, which is sufficient for
fairly large programs.  32python.exe is distributed as a tar file
containing the required DOS extended and 387 emulator.  Both are on
most ftp sites carrying Python.

The file dosbuild.tar.gz on the standard ftp sites
(e.g. ftp.cwi.nl:/pub/python/) contains rudimentary Makefiles and
instructions.

7.3. Q. Is there a Windows version of Python?

A. Yes.  Use qwpython.exe.  The only problem with it: ^C
unconditionally kills the entire program -- it does not raise
KeyboardInterrupt.  You can also run 16python.exe or 32python.exe in a
"DOS box", but qwpython.exe appears to be slightly faster.

There aren't any Makefiles at this moment.  Sorry.

Using Win32s (a free NT compatibility package by Microsoft) you can
also use the NT version by Mark Hammond -- the Win32s package is also
in that directory (you'll need several MB of disk space to install
it).  See the next questionYTHONPATH=C:\misc\python\lib

7.11. Q. Where's the documentation for the Mac or PC version?

A. There isn't any.  The documentation for the Unix version also
applies to the Mac and PC versions.  Where applicable, differences
are indicated in the text.

7.12. Q. The Mac (PC) version doesn't seem to have any facilities for
creating or editing programs apart from entering it interactively, and
there seems to be no way to save code that was entered interactively.
How do I create a Python program on the Mac (PC)?

A. Use an external editor.  On the Mac, BBEdit seems to be a popular
no-frills text editor.  I work like this: start the interpreter; edit
a module file using BBedit; import and test it in the interpreter;
edit again in BBedit; then use the built-in function reload() to
re-read the imported module; etc.

Regarding the same question for the PC, Kurt Wm. Hemr writes: "While
anyone with a pulse could certainly figure out how to do the same on
MS-Windows, I would recommend the NotGNU Emacs clone for MS-Windows.
Not only can you easily resave and "reload()" from Python after making
changes, but since WinNot auto-copies to the clipboard any text you
select, you can simply select the entire procedure (function) which
you changed in WinNot, switch to QWPython, and shift-ins to reenter
the changed program unit."