remote python call 2.60
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Remote Python Call 2.60
RPyC stands for Remote Python Call, a pun over remote procedure call. more>>
RPyC stands for Remote Python Call, a pun over remote procedure call. It is completely transparent and symmetrical. It is inspired by the work of eyal lotem (pybuild.sf.net) on pyinvoke, and was made for two purposes:
Learning the lowlevel of the python language attempting to improve pyinvoke by making the entire protocol symmetrical. This means the client can make requests to the server, and the server can reply with requests of its own (the client is also a server on its own). This typically means using callback functions.
The RPyC package comes with a full demo, showing (or showing-off) many of its features. As i said, its completely transparent and symmetrical, so you can write code just as you would write in the case of normal python programs.
demo 1 -- a simple client demo
# import the client
from Rpyc.Client import RpycSocketClient
# `hostname` is the name of the host running an Rpyc server
# the port parameter is optional
c = RpycSocketClient("hostname")
# now we are connected and can start messing around with stuff on the server
for filename in c.modules.os.listdir("/tmp"):
print "found file", filename
Enhancements:
- This release adds DeliveringNamespace, LoginError (instead of tlslites internal errors), __version__, deliver (the counterpart of obtain, which can now deliver and obtain functions as well), and isproxy (to test whether an object is a proxy).
- It improves memory consumption with __slots__ and the isinstance/issubclass mechanism.
<<lessLearning the lowlevel of the python language attempting to improve pyinvoke by making the entire protocol symmetrical. This means the client can make requests to the server, and the server can reply with requests of its own (the client is also a server on its own). This typically means using callback functions.
The RPyC package comes with a full demo, showing (or showing-off) many of its features. As i said, its completely transparent and symmetrical, so you can write code just as you would write in the case of normal python programs.
demo 1 -- a simple client demo
# import the client
from Rpyc.Client import RpycSocketClient
# `hostname` is the name of the host running an Rpyc server
# the port parameter is optional
c = RpycSocketClient("hostname")
# now we are connected and can start messing around with stuff on the server
for filename in c.modules.os.listdir("/tmp"):
print "found file", filename
Enhancements:
- This release adds DeliveringNamespace, LoginError (instead of tlslites internal errors), __version__, deliver (the counterpart of obtain, which can now deliver and obtain functions as well), and isproxy (to test whether an object is a proxy).
- It improves memory consumption with __slots__ and the isinstance/issubclass mechanism.
Download (0.030MB)
Added: 2006-05-19 License: Public Domain Price:
1254 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 Call Graph 0.4.0
Python Call Graph (pycallgraph) is a Python library that creates call graphs for Python programs more>>
Python Call Graph (pycallgraph) is a Python library that creates call graphs for Python programs
pycallgraph is quite new. It seems to work well and I will most likely improve it in the near future!
<<lesspycallgraph is quite new. It seems to work well and I will most likely improve it in the near future!
Download (0.004MB)
Added: 2007-06-26 License: GPL (GNU General Public License) Price:
853 downloads
Remote nmap 0.10
Remote Nmap (Rnmap) package contains both client and server programs. more>>
Remote Nmap (Rnmap) package contains both client and server programs. Actual idea for this sofware is that various clients can connect to one centralized Rnmap server and do their portscannings. Server does user authentication and uses excellent Nmap scanner to do actual scanning. Rnmap is written entirely in Python and is released under the terms of the GNU General Public License.
Version 0.10 of server is tested mainly on Linux, NetBSD and OpenBSD. Generally it should run on any *nix platform as long Nmap and Python are available for them. Console client is known to work with same platforms as server. Gui client will run on any python (with threads) supported platform.
<<lessVersion 0.10 of server is tested mainly on Linux, NetBSD and OpenBSD. Generally it should run on any *nix platform as long Nmap and Python are available for them. Console client is known to work with same platforms as server. Gui client will run on any python (with threads) supported platform.
Download (0.029MB)
Added: 2006-07-11 License: GPL (GNU General Public License) Price:
1205 downloads
Python commandsplus 0.2.3
Python commandsplus is a Python module that complements the existing commands module with an extra function. more>>
Python commandsplus is a Python module that complements the existing commands module with an extra function getstatusoutputerror, which separates the standard output from the standard error and makes it easier to evaluate return status.
Python commandsplus also includes a useful function that protects a command line argument from shell metacharacters.
<<lessPython commandsplus also includes a useful function that protects a command line argument from shell metacharacters.
Download (0.015MB)
Added: 2005-12-03 License: GPL (GNU General Public License) Price:
1422 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
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
Webware for Python 0.9.4
Webware for Python project is a suite of Python packages and tools for developing object-oriented, web-based applications. more>>
Webware for Python project is a suite of Python packages and tools for developing object-oriented, web-based applications.
The suite uses well known design patterns and includes a fast Application Server, Servlets, Python Server Pages (PSP), Object-Relational Mapping, Task Scheduling, Session Management, and many other features. Webware is very modular and easily extended.
Webware for Python is well proven and platform-independent. It is compatible with multiple web servers, database servers and operating systems.
Enhancements:
- It contains some fixes and improvements of WebKit, and it adds some more configuration options that have been requested.
<<lessThe suite uses well known design patterns and includes a fast Application Server, Servlets, Python Server Pages (PSP), Object-Relational Mapping, Task Scheduling, Session Management, and many other features. Webware is very modular and easily extended.
Webware for Python is well proven and platform-independent. It is compatible with multiple web servers, database servers and operating systems.
Enhancements:
- It contains some fixes and improvements of WebKit, and it adds some more configuration options that have been requested.
Download (0.93MB)
Added: 2007-07-08 License: GPL (GNU General Public License) Price:
840 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-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
Sybase module for Python 0.38
Sybase module for Python project provides a Python interface to the Sybase relational database system. more>>
Sybase module for Python project provides a Python interface to the Sybase relational database system. The Sybase package supports all of the Python Database API, version 2.0 with extensions.
Enhancements:
- This release works with Python 2.5, Sybase 15, and 64-bit clients.
- It can also use native Python datetime types.
- The infamous bug "This routine cannot be called because another command structure has results pending."
- that appears in various cases has been corrected.
- Various bugs have been corrected.
<<lessEnhancements:
- This release works with Python 2.5, Sybase 15, and 64-bit clients.
- It can also use native Python datetime types.
- The infamous bug "This routine cannot be called because another command structure has results pending."
- that appears in various cases has been corrected.
- Various bugs have been corrected.
Download (0.097MB)
Added: 2007-05-04 License: Python License Price:
547 downloads
Extended Python Debugger 1.22
Extended Python Debugger is a (slightly) more complete debugger for Python than the stock pdb.py debugger. more>>
Extended Python Debugger is a complete debugger for Python than the stock pdb.py debugger.
It supports a "restart" command and stack traces that show fewer ?s and give better information for exec statements.
Stepping/nexting skips over method/function "defs". It tries to follow gdbs command set unless there is good reason not to.
<<lessIt supports a "restart" command and stack traces that show fewer ?s and give better information for exec statements.
Stepping/nexting skips over method/function "defs". It tries to follow gdbs command set unless there is good reason not to.
Download (0.094MB)
Added: 2007-04-16 License: Python License Price:
923 downloads
Python lambda calculus module 1.0
Python lambda calculus module project is a simple but full-featured module for exploring lambda calculus. more>>
Python lambda calculus module project is a simple but full-featured module for exploring lambda calculus.
It understands the different types of lambda expressions, can extract lists of variables (both free and bound) and subterms, and can simplify complicated expressions by means of application.
Notations for lambda expressions vary slightly, so it is instructive to detail the precise notation used by this module. A variable is expressed with a string of alphanumeric characters, e.g., x or abc1.
Enhancements:
- Initial release.
<<lessIt understands the different types of lambda expressions, can extract lists of variables (both free and bound) and subterms, and can simplify complicated expressions by means of application.
Notations for lambda expressions vary slightly, so it is instructive to detail the precise notation used by this module. A variable is expressed with a string of alphanumeric characters, e.g., x or abc1.
Enhancements:
- Initial release.
Download (0.014MB)
Added: 2006-10-27 License: GPL (GNU General Public License) Price:
1097 downloads
delicious python 0.3.3
delicious python lets you access the Web service of del.icio.us via its API through Python. more>>
delicious python lets you access the Web service of del.icio.us via its API through Python. It uses only the standard Python library an is written in same language.
Installation instructions:
download and unzip
run as root from unzipped directory
python setup.py install
run python and load library with
import pydelicious
<<lessInstallation instructions:
download and unzip
run as root from unzipped directory
python setup.py install
run python and load library with
import pydelicious
Download (0.12MB)
Added: 2006-06-22 License: GPL (GNU General Public License) Price:
1222 downloads
Python Remote Call Module 0.0.3
Python Remote Call Module allows to transparently work with remote object in a python program. more>>
Python Remote Call Module allows to transparently work with remote object in a python program.
To make this possible a kind of peer-to-peer design is used. Servers can be created explictly, as can clients by explicitly connecting to a server. If a client needs to have a server, e.g. so a reference to a local object can be passed to a remote destination, it is instantiated as needed.
Clients can have multiple connections. New connections are created when needed, e.g. when a remote reference to a new server is recieved.
WARNING:
This module is still in its experimental phase, so it is kind of usable, but an awful lot of bugs is still in it, and quite a few parts are not coded yet, others arent even designed yet.
Therefor lots of changes and outdated documentation should be expected.
Enhancements:
- All previous stub objects have been replaced by a single stub object which uses on-demand retrieval of attributes of remote objects.
- This way, the behavior of the stub object is much more flexible and smoother.
- A first draft of an authentication framework has been implemented so PyRCall can support many different authentication methods.
- Support for username/password-based authentication has been implemented.
<<lessTo make this possible a kind of peer-to-peer design is used. Servers can be created explictly, as can clients by explicitly connecting to a server. If a client needs to have a server, e.g. so a reference to a local object can be passed to a remote destination, it is instantiated as needed.
Clients can have multiple connections. New connections are created when needed, e.g. when a remote reference to a new server is recieved.
WARNING:
This module is still in its experimental phase, so it is kind of usable, but an awful lot of bugs is still in it, and quite a few parts are not coded yet, others arent even designed yet.
Therefor lots of changes and outdated documentation should be expected.
Enhancements:
- All previous stub objects have been replaced by a single stub object which uses on-demand retrieval of attributes of remote objects.
- This way, the behavior of the stub object is much more flexible and smoother.
- A first draft of an authentication framework has been implemented so PyRCall can support many different authentication methods.
- Support for username/password-based authentication has been implemented.
Download (0.005MB)
Added: 2005-12-29 License: GPL (GNU General Public License) Price:
1399 downloads
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