python 2.2
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Java Embedded Python 2.2
Java Embedded Python embeds CPython in Java. more>>
Java Embedded Python embeds CPython in Java. It is safe to use in a heavily threaded environment, it is quite fast and its stability is a main feature and goal.
Main features:
- Using the native Python interpreter may mean a massive speed improvement over Java-based languages.
- Python is mature so authors neednt fear the interpreter will suddenly change widely-used features.
- Access to the high quality Python modules, both native and Python-based.
- Compilers and assorted Python tools are as mature as the language.
- Python is an ideal language for your business logic. It is easy to learn, eminently readable and generally immune to programming gotchas.
Patches, comments and other help is greatly appreciated. If you need help, post to the SourceForge mailing list or forums. Please include code snippets for the most accurate response.
<<lessMain features:
- Using the native Python interpreter may mean a massive speed improvement over Java-based languages.
- Python is mature so authors neednt fear the interpreter will suddenly change widely-used features.
- Access to the high quality Python modules, both native and Python-based.
- Compilers and assorted Python tools are as mature as the language.
- Python is an ideal language for your business logic. It is easy to learn, eminently readable and generally immune to programming gotchas.
Patches, comments and other help is greatly appreciated. If you need help, post to the SourceForge mailing list or forums. Please include code snippets for the most accurate response.
Download (0.60MB)
Added: 2007-03-17 License: GPL (GNU General Public License) Price:
956 downloads
Python 2.5.1
Python is a high-level scripting language. more>>
Python is an interpreted, interactive, object-oriented programming language. Python is often compared to Perl, Tcl, Scheme or Java.
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems (X11, Motif, Tk, Mac, MFC). New built-in modules are easily written in C or C++. Python is also usable as an extension language for applications that need a programmable interface.
The Python implementation is portable: it runs on many brands of UNIX, on Windows, OS/2, Mac, Amiga, and many other platforms. If your favorite system isnt listed here, it may still be supported, if theres a C compiler for it.
The Python implementation is copyrighted but freely usable and distributable, even for commercial use.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Pythons simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception.
When the program doesnt catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on.
The debugger is written in Python itself, testifying to Pythons introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
<<lessPython combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems (X11, Motif, Tk, Mac, MFC). New built-in modules are easily written in C or C++. Python is also usable as an extension language for applications that need a programmable interface.
The Python implementation is portable: it runs on many brands of UNIX, on Windows, OS/2, Mac, Amiga, and many other platforms. If your favorite system isnt listed here, it may still be supported, if theres a C compiler for it.
The Python implementation is copyrighted but freely usable and distributable, even for commercial use.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Pythons simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception.
When the program doesnt catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on.
The debugger is written in Python itself, testifying to Pythons introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
Download (10.5MB)
Added: 2007-04-19 License: Python License Price:
938 downloads
Dee-Python 0.12
Dee-Python is an implementation of a truly relational database language with Python. more>>
Dee-Python project is an implementation of a truly relational database language with Python. Inspired by Date and Darwens Third Manifesto, it addresses the problems of impedance mismatch between programming languages and databases and the weakness of SQL.
Mind The Gap
Most of todays programs handle data in one way or another and often this data is stored in some kind of relational database. To read and modify this data, a program must bridge the gap between its representation and the one used by the dialect of SQL that the database provides. This bridge typically comprises a database API that sends queries as text strings, often accompanied by some kind of table-to-object mapper that has to coerce data and relationships in both directions, usually with elaborate layers of abstraction in an effort to keep the two sides loosely coupled.
"Yet by obscuring the true data source these solutions end up throwing away the most compelling feature of relational databases; the ability for the data to be queried."
Microsoft, DLinq .NET Language-Integrated Query for Relational Data, May 2006.
This approach not only adds complexity and increases the need for data transformations but, most importantly, it destroys the significant advantages provided by the relational model of data. The relational model is built upon predicate logic which brings the power of formal reasoning to data: it is the only sound foundation available.
<<lessMind The Gap
Most of todays programs handle data in one way or another and often this data is stored in some kind of relational database. To read and modify this data, a program must bridge the gap between its representation and the one used by the dialect of SQL that the database provides. This bridge typically comprises a database API that sends queries as text strings, often accompanied by some kind of table-to-object mapper that has to coerce data and relationships in both directions, usually with elaborate layers of abstraction in an effort to keep the two sides loosely coupled.
"Yet by obscuring the true data source these solutions end up throwing away the most compelling feature of relational databases; the ability for the data to be queried."
Microsoft, DLinq .NET Language-Integrated Query for Relational Data, May 2006.
This approach not only adds complexity and increases the need for data transformations but, most importantly, it destroys the significant advantages provided by the relational model of data. The relational model is built upon predicate logic which brings the power of formal reasoning to data: it is the only sound foundation available.
Download (0.80MB)
Added: 2007-05-29 License: GPL (GNU General Public License) Price:
883 downloads
python-gammu 0.21
python-gammu are Python bindings for Gammu library. more>>
python-gammu are Python bindings for Gammu library. It currently does not support all Gammu features, but range of covered functions is increasing, if you need some specific, feel free to use bug tracking system for feature requests.
<<less Download (0.072MB)
Added: 2007-06-16 License: GPL (GNU General Public License) Price:
863 downloads
gnome-python 2.19.2
gnome-python package contains python bindings for GNOME. more>>
gnome-python package contains python bindings for GNOME.
Installation:
The simplest way to compile this package is:
1. `cd to the directory containing the packages source code and type `./configure to configure the package for your system. If youre using `csh on an old version of System V, you might need to type `sh ./configure instead to prevent `csh from trying to execute `configure itself.
Running `configure takes awhile. While running, it prints some messages telling which features it is checking for.
2. Type `make to compile the package.
3. Optionally, type `make check to run any self-tests that come with the package.
4. Type `make install to install the programs and any data files and documentation.
5. You can remove the program binaries and object files from the source code directory by typing `make clean. To also remove the files that `configure created (so you can compile the package for a different kind of computer), type `make distclean. There is also a `make maintainer-clean target, but that is intended mainly for the packages developers. If you use it, you may have to get all sorts of other programs in order to regenerate files that came with the distribution.
Enhancements:
General:
- Add a __version__ attribute on some modules with new pygtk
Gconf:
- Fix memory errors in gconf.Value.get_car/cdr() (#461278)
<<lessInstallation:
The simplest way to compile this package is:
1. `cd to the directory containing the packages source code and type `./configure to configure the package for your system. If youre using `csh on an old version of System V, you might need to type `sh ./configure instead to prevent `csh from trying to execute `configure itself.
Running `configure takes awhile. While running, it prints some messages telling which features it is checking for.
2. Type `make to compile the package.
3. Optionally, type `make check to run any self-tests that come with the package.
4. Type `make install to install the programs and any data files and documentation.
5. You can remove the program binaries and object files from the source code directory by typing `make clean. To also remove the files that `configure created (so you can compile the package for a different kind of computer), type `make distclean. There is also a `make maintainer-clean target, but that is intended mainly for the packages developers. If you use it, you may have to get all sorts of other programs in order to regenerate files that came with the distribution.
Enhancements:
General:
- Add a __version__ attribute on some modules with new pygtk
Gconf:
- Fix memory errors in gconf.Value.get_car/cdr() (#461278)
Download (0.55MB)
Added: 2007-07-31 License: GPL (GNU General Public License) Price:
495 downloads
Other version of gnome-python
gnome-python package contains python bindings for GNOME. gnome-python 2.18.2 - James ... gnome-python package contains python bindings for GNOME. Installation: The simplest way toLicense:GPL (GNU General Public License)
Python-LDAP 2.3.1
Python-LDAP provides an object-oriented API to access LDAP directory servers from Python programs. more>>
Python-LDAP provides an object-oriented API to access LDAP directory servers from Python programs. Mainly it wraps the OpenLDAP 2.x libs for that purpose.
Additionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, etc.).
<<lessAdditionally the package contains modules for other LDAP-related stuff (e.g. processing LDIF, LDAPURLs, LDAPv3 schema, etc.).
Download (0.073MB)
Added: 2007-07-25 License: Python License Price:
506 downloads
Python-SIP 4.7
Python-SIP is a tool to generate Python bindings from C++ code. more>>
One of the features of Python that makes it so powerful is the ability to take existing libraries, written in C or C++, and make them available as Python extension modules. Such extension modules are often called bindings for the library.
SIP is a tool that makes it very easy to create Python bindings for C and C++ libraries. Python-SIP was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
The specification files contains a description of the interface of the C or C++ library, i.e. the classes, methods, functions and variables. The format of a specification file is almost identical to a C or C++ header file, so much so that the easiest way of creating a specification file is to edit the corresponding header file.
SIP makes it easy to exploit existing C or C++ libraries in a productive interpretive programming environment. SIP also makes it easy to take a Python application (maybe a prototype) and selectively implement parts of the application (maybe for performance reasons) in C or C++.
Enhancements:
- This release adds support for consolidated and composite modules.
- It adds support for pickling classes and enums.
<<lessSIP is a tool that makes it very easy to create Python bindings for C and C++ libraries. Python-SIP was originally developed to create PyQt, the Python bindings for the Qt toolkit, but can be used to create bindings for any C or C++ library.
SIP comprises a code generator and a Python module. The code generator processes a set of specification files and generates C or C++ code which is then compiled to create the bindings extension module. The SIP Python module provides support functions to the automatically generated code.
The specification files contains a description of the interface of the C or C++ library, i.e. the classes, methods, functions and variables. The format of a specification file is almost identical to a C or C++ header file, so much so that the easiest way of creating a specification file is to edit the corresponding header file.
SIP makes it easy to exploit existing C or C++ libraries in a productive interpretive programming environment. SIP also makes it easy to take a Python application (maybe a prototype) and selectively implement parts of the application (maybe for performance reasons) in C or C++.
Enhancements:
- This release adds support for consolidated and composite modules.
- It adds support for pickling classes and enums.
Download (0.38MB)
Added: 2007-07-31 License: Python License Price:
830 downloads
python-dime 0.1
python-dime project provides a way to parse and generate DIME messages. more>>
python-dime project provides a way to parse and generate DIME messages.
Direct Internet Message Encapsulation (DIME) is a binary message format that can be used to encapsulate multiple payloads into a single message.
<<lessDirect Internet Message Encapsulation (DIME) is a binary message format that can be used to encapsulate multiple payloads into a single message.
Download (0.007MB)
Added: 2007-07-26 License: GPL (GNU General Public License) Price:
821 downloads
pythondr 0.0.1
pythondr project is a simple python library for parsing the TV-channel info at http://dr.dk. more>>
pythondr project is a simple python library for parsing the TV-channel info at http://dr.dk.
<<less Download (0.010MB)
Added: 2007-02-23 License: LGPL (GNU Lesser General Public License) Price:
973 downloads
Gst-Python 0.10.6
Gst-Python provides Python bindings for the GStreamer project. more>>
Gst-Python provides Python bindings for the GStreamer project. These bindings provide access to almost all of the GStreamer C API through an object oriented Python API.
<<less Download (0.48MB)
Added: 2006-12-15 License: LGPL (GNU Lesser General Public License) Price:
1046 downloads
Python MyCMS 2.0.1
Python MyCMS is an application development platform built with robust MySQL integration. more>>
Python MyCMS program is an application development platform built with robust MySQL integration that allows for the easy creation of state and event driven Web-based interfaces.
Domain- group-user management is built in for direct, authenticated applicability.
To start the authentication server.
First, make sure that you have the domains entered into the DOMAINS/paths.pkl and DOMAINS/register.pkl with the appropriate instance paths for CUSTOMIZATION imports.
Make sure that authServer.py, lookupServer.py, and groupServer.py (all in MyCMS/server) all point to the correct path for the DOMAIN files above. Below is the default that you will find in these files.
ROOT_DIR = "/usr/pkg/lib/python/site-packages/custom/DOMAINS/"
Note: In a future release, all of this will be a configuration line in a standard configuration file, so that you dont have to do any editing in individual modules.
Once you have all of this set. run /path/to/MyCMS/shellTools/mycmsDaemon start"
You can look to make sure this is running.
Enhancements:
- This release contains more AJAX widgets/support.
- It also includes enhancements to the database manager and related SQL storage models that allow for tables with no keys, or with keys from mixed columns.
<<lessDomain- group-user management is built in for direct, authenticated applicability.
To start the authentication server.
First, make sure that you have the domains entered into the DOMAINS/paths.pkl and DOMAINS/register.pkl with the appropriate instance paths for CUSTOMIZATION imports.
Make sure that authServer.py, lookupServer.py, and groupServer.py (all in MyCMS/server) all point to the correct path for the DOMAIN files above. Below is the default that you will find in these files.
ROOT_DIR = "/usr/pkg/lib/python/site-packages/custom/DOMAINS/"
Note: In a future release, all of this will be a configuration line in a standard configuration file, so that you dont have to do any editing in individual modules.
Once you have all of this set. run /path/to/MyCMS/shellTools/mycmsDaemon start"
You can look to make sure this is running.
Enhancements:
- This release contains more AJAX widgets/support.
- It also includes enhancements to the database manager and related SQL storage models that allow for tables with no keys, or with keys from mixed columns.
Download (0.36MB)
Added: 2007-01-02 License: MIT/X Consortium License Price:
1026 downloads
Fonty Python 0.2.0
Fonty Python project allows you to manage your fonts on Gnu/Linux. more>>
Fonty Python project allows you to manage your fonts on Gnu/Linux.
As a designer, I missed the ability to view and keep lists of fonts in easy-to-use collections.
With this program you can assign/remove fonts to/from a pog (from the word typography) and then install the pog. All the fonts within it will be linked within your $HOME/.fonts directory. When you are done using them (in other applications), you can simply remove the pog, and all the links will be removed too.
Its great for keeping your fonts organized on a per client/project/job basis. It also keeps "font clutter" in your font choosers down to a minimum.
It is written as a mixed command-line/gui application at the moment, allowing very quick use. You can install/remove pogs without having to start the entire gui, which is neat.
FP is now on 0.2.0 and has a full user interface. None of the command-line goodness has been lost though.
Please let me know what you think of Fonty Python, and help me fix bugs and improve the app.
How to install:
Please see the end of this file if your install fails, there are certain files that FP relies upon.
I assume you have extracted the "tarball" already. Change to the directory it creates.
As the root user enter this command:
python setup.py install
If you are on Ubuntu/Kubuntu/Xubuntu/etc:
sudo python setup.py install
This will create a program called fp
Alternative installation:
Move the entire extracted folder to a folder that
is in your PATH, like ~/bin
Make a link to the fp script like this: (for e.g.)
tar -s ~/bin/fontypython-x.x.x/fp .
Make it executable:
chmod u+x fp
Now you should be good to go.
If it does not work, try closing your console and
starting it again.
Running the program:
To get started:
fp -h
<<lessAs a designer, I missed the ability to view and keep lists of fonts in easy-to-use collections.
With this program you can assign/remove fonts to/from a pog (from the word typography) and then install the pog. All the fonts within it will be linked within your $HOME/.fonts directory. When you are done using them (in other applications), you can simply remove the pog, and all the links will be removed too.
Its great for keeping your fonts organized on a per client/project/job basis. It also keeps "font clutter" in your font choosers down to a minimum.
It is written as a mixed command-line/gui application at the moment, allowing very quick use. You can install/remove pogs without having to start the entire gui, which is neat.
FP is now on 0.2.0 and has a full user interface. None of the command-line goodness has been lost though.
Please let me know what you think of Fonty Python, and help me fix bugs and improve the app.
How to install:
Please see the end of this file if your install fails, there are certain files that FP relies upon.
I assume you have extracted the "tarball" already. Change to the directory it creates.
As the root user enter this command:
python setup.py install
If you are on Ubuntu/Kubuntu/Xubuntu/etc:
sudo python setup.py install
This will create a program called fp
Alternative installation:
Move the entire extracted folder to a folder that
is in your PATH, like ~/bin
Make a link to the fp script like this: (for e.g.)
tar -s ~/bin/fontypython-x.x.x/fp .
Make it executable:
chmod u+x fp
Now you should be good to go.
If it does not work, try closing your console and
starting it again.
Running the program:
To get started:
fp -h
Download (0.14MB)
Added: 2007-08-06 License: GPL (GNU General Public License) Price:
818 downloads
Python Audio Tools 2.2
Python Audio Tools are a collection of audio handling programs which work from the command line. more>>
Python Audio Tools are a collection of audio handling programs which work from the command line. These include programs for CD extraction, track conversion from one audio format to another, track renaming and retagging, track identification, CD burning from tracks, and more.
Supports internationalized track filenames and metadata using Unicode. Works with high-definition, multi-channel audio as well as CD-quality. Track conversion uses multiple CPUs or CPU cores if available to greatly speed the transcoding process. Track metadata can be retrieved from FreeDB or FreeDB-compatible servers. Audio formats supported are:
- WAV
- AIFF
- Sun AU
- FLAC
- WavPack
- Monkeys Audio
- MP3
- MP2
- Ogg Vorbis
- Ogg Speex
- M4A
Easy to install and use:
I dont like programs with lots of obscure dependencies, so Ive written Python Audio Tools to require as few external libraries and programs as possible. Most formats require only one or two common executables and some require none at all. Installation utilizes Pythons built-in distutils, but a provided makefile reduces the process to a simple "make install" command.
The programs that make up Python Audio Tools provide a consistent interface for painless switching between them. man pages are included, as is a lengthy manual for both users and programmers. See the short tutorial in the documentation for an illustration of their usage.
These Python Audio Tools are designed with Unix-like systems in mind. Although most of it is written in pure Python, the libcdio library is used to read from a CD-ROM drive. If one is willing to forgo the CD-based tools, Python Audio Tools is fully portable so long as the required helper applications are present. I have used it on the i386, x86_64 and ppc architectures without difficulty.
Standards compliant
Because Python Audio Tools sticks very close to established, documented standards, it has no trouble interoperating with other audio-handling programs. If you want to rip CDs with Exact Audio Copy, batch convert them to M4As with these tools and play them back in iTunes, thats no problem.
Enhancements:
- Revamped the track metadata system.
- Improved the file detection routines.
- Minor bugfixes.
<<lessSupports internationalized track filenames and metadata using Unicode. Works with high-definition, multi-channel audio as well as CD-quality. Track conversion uses multiple CPUs or CPU cores if available to greatly speed the transcoding process. Track metadata can be retrieved from FreeDB or FreeDB-compatible servers. Audio formats supported are:
- WAV
- AIFF
- Sun AU
- FLAC
- WavPack
- Monkeys Audio
- MP3
- MP2
- Ogg Vorbis
- Ogg Speex
- M4A
Easy to install and use:
I dont like programs with lots of obscure dependencies, so Ive written Python Audio Tools to require as few external libraries and programs as possible. Most formats require only one or two common executables and some require none at all. Installation utilizes Pythons built-in distutils, but a provided makefile reduces the process to a simple "make install" command.
The programs that make up Python Audio Tools provide a consistent interface for painless switching between them. man pages are included, as is a lengthy manual for both users and programmers. See the short tutorial in the documentation for an illustration of their usage.
These Python Audio Tools are designed with Unix-like systems in mind. Although most of it is written in pure Python, the libcdio library is used to read from a CD-ROM drive. If one is willing to forgo the CD-based tools, Python Audio Tools is fully portable so long as the required helper applications are present. I have used it on the i386, x86_64 and ppc architectures without difficulty.
Standards compliant
Because Python Audio Tools sticks very close to established, documented standards, it has no trouble interoperating with other audio-handling programs. If you want to rip CDs with Exact Audio Copy, batch convert them to M4As with these tools and play them back in iTunes, thats no problem.
Enhancements:
- Revamped the track metadata system.
- Improved the file detection routines.
- Minor bugfixes.
Download (0.52MB)
Added: 2007-08-03 License: GPL (GNU General Public License) Price:
817 downloads
Python CD 2004-07-02
Python CD is a bootable CD based on Debian GNU/Linux and KNOPPIX. more>>
Python CD is a bootable CD based on Debian GNU/Linux and KNOPPIX.
The special thing about it is that it has lots of Python stuff!
Installable Python packages
In the top level directory of the CD is a directory python/, containing several packages of Python:
- Python for Linux - most Linux distributions include Python, so we dont provide it for them
- Python for Mac OS X
- Python for Windows, win32all extension
- Python for DOS - no maintainer yet, so we only provide an URL
- Python source code, if you want to compile it yourself
Ready-to-Use Python
On the bootable Linux system, Python is already installed and ready to run:
- Python 2.3.4 (latest and greatest, use this!)
- Python 2.2.3
- Python 2.1.3
Python CD Packages
Here is an overview of popular packages installed on the PythonCd.
PythonCdRawPackageList has a complete raw list of installed debian packages.
IDEs (Integrated Development Environments)
- eric3 - a very nice and powerful GUI IDE
- IDLE - a simpler, but also popular GUI IDE
- DrPython - another GUI IDE
- IPython - an extended interactive Python command interpreter
GUI Builders
- BoaConstructor
- PythonCard
- ? WxGlade
GUI Toolkit bindings
- PyGtk
- PyQt
- WxPython
Graphics libs
- PIL
- PyGame
- PyOpenGL
Web/HTML/XML stuff
- MoinMoin wiki - you are using it right now
- TwistedMatrix AKA Twisted - a Python internet framework, very powerful
- Quixote
- PyXML, libxml2 and other XML packages
Scientific
- python-numeric and python-numarray - math extensions
- python-pyx - module for generating PostScript graphics, plotting
Database
- Gadfly
- python-mysqldb - interface for MySQL
- python-pgsql - DB-API 2.0 interface to PostgreSQL v7.x
- python-pygresql - PostgreSQL module
Misc
- PyChecker - checks your source code for common errors"
<<lessThe special thing about it is that it has lots of Python stuff!
Installable Python packages
In the top level directory of the CD is a directory python/, containing several packages of Python:
- Python for Linux - most Linux distributions include Python, so we dont provide it for them
- Python for Mac OS X
- Python for Windows, win32all extension
- Python for DOS - no maintainer yet, so we only provide an URL
- Python source code, if you want to compile it yourself
Ready-to-Use Python
On the bootable Linux system, Python is already installed and ready to run:
- Python 2.3.4 (latest and greatest, use this!)
- Python 2.2.3
- Python 2.1.3
Python CD Packages
Here is an overview of popular packages installed on the PythonCd.
PythonCdRawPackageList has a complete raw list of installed debian packages.
IDEs (Integrated Development Environments)
- eric3 - a very nice and powerful GUI IDE
- IDLE - a simpler, but also popular GUI IDE
- DrPython - another GUI IDE
- IPython - an extended interactive Python command interpreter
GUI Builders
- BoaConstructor
- PythonCard
- ? WxGlade
GUI Toolkit bindings
- PyGtk
- PyQt
- WxPython
Graphics libs
- PIL
- PyGame
- PyOpenGL
Web/HTML/XML stuff
- MoinMoin wiki - you are using it right now
- TwistedMatrix AKA Twisted - a Python internet framework, very powerful
- Quixote
- PyXML, libxml2 and other XML packages
Scientific
- python-numeric and python-numarray - math extensions
- python-pyx - module for generating PostScript graphics, plotting
Database
- Gadfly
- python-mysqldb - interface for MySQL
- python-pgsql - DB-API 2.0 interface to PostgreSQL v7.x
- python-pygresql - PostgreSQL module
Misc
- PyChecker - checks your source code for common errors"
Download (669.5MB)
Added: 2007-08-13 License: GPL (GNU General Public License) Price:
815 downloads
CORBA-Python 0.30
CORBA-Python is a package supplies the following tools : idl2py : IDL compiler to Python. more>>
CORBA-Python is a package supplies the following tools : idl2py : IDL compiler to Python.
idl2pyemb : IDL compiler to Python embedded with C idl2pyext : IDL compiler to Python extension with C idl2pycli : RPC-GIOP client stub generator idl2pysrv : RPC-GIOP server skeleton generator
<<lessidl2pyemb : IDL compiler to Python embedded with C idl2pyext : IDL compiler to Python extension with C idl2pycli : RPC-GIOP client stub generator idl2pysrv : RPC-GIOP server skeleton generator
Download (0.060MB)
Added: 2006-11-11 License: Perl Artistic License Price:
1080 downloads
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