Sourceforge Project
- Download distributions, contribute, etc.
News
Pippy has not
been under active development for some time and is no
longer being maintained by the original authors.
27 April 2002 Pippy development
has been moved to Sourceforge!
Introduction
Welcome to the official site for Pippy, the
port of Python
to the PalmOS. Pippy runs on the PalmOS
(version 3.5 and higher) and passes a subset of the
standard Python regression test suite without failures or
errors.
Status
Latest
Version: Pippy 0.7
Pippy 0.7 is the latest release of our port
of Python 1.5.2+ to the PalmOS. Significant improvements
have been made in this release. The most significant
changes of this release are:
- Speed Improvements
- Application
startup, shutdown, and display speed increased
- Replaced
the memory manager, resulting in a 20x increase in
memory allocation speed and an overall improvement
in performance.
- Reduced
use of the dynamic heap by moving most read-only objects
and dictionary internals to the data manager.
- Assorted
bug fixes
- Added
development code for use with CodeWarrior
Documentation
Differences between Pippy and Python-1.5.2+
Numerous modules have been removed from the
core Python language, either to reduce the code footprint
or because the feature is inapplicable or is ill-suited
to the PalmOS. For instance, the parser/compiler was
removed to reduce the memory footprint and conserve
the dynamic heap. Consequently, embedded applications
should not assume its presence (however, setting a flag
during the build process will include the compiler if desired).
More specifically,
- floating point and complex numbers
- parser/compiler (included in this release
but may be removed via a configuration option at
build time)
were removed to reduce the memory footprint,
were removed to reduce heap consumption,
and
- dynamic linking
- signals
- path related code
were deleted as they are not applicable to
the PalmOS platform.
All built in functions have been preserved.
Those associated with removed features (such as
complex(),
float(), etc) will raise a MissingFeatureError.
Likewise for Python modules that include removed features
(this happens when compiling modules with a more
capable version of Python).
