Free python editor software for linux

Python milter module provides a python interface to Sendmails libmilter that exploits all its features. Milters can run on the same machine as sendmail, or another machine.
The milter can even run with a different operating system or processor than sendmail. Sendmail talks to the milter via a local or internet socket, and keeps the milter informed of events as it processes a mail connection.
At any point, the milter can cut the conversation short by telling sendmail to ACCEPT, REJECT, or DISCARD the message. After receiving a complete message from sendmail, the milter can again REJECT or DISCARD it, but it can also ACCEPT it with changes to the headers or body.
Enhancements:
- The spf module has been moved to the pyspf package.
- This will cause some confusion when upgrading, since 0.8.6 still has the module and will conflict with pyspf, whereas 0.8.7 does not have spf by itself, and will stop doing SPF if you dont install pyspf.

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.

python-gdkinput is a Python binding for the gdk_input_add and gdk_input_remove functions missing in PyGtk. his group of functions is not present in the Gtk+/Python "PyGtk" binding, and one needs it to do asynchronous I/O in a Gtk+ based GUI.

Plans for the future:

A priori, its finished. Maybe add gdk_input_add_full if I have requests for it.
Bug corrections (I probably have made mistakes when using the reference counting system of Python); Monitor memory leaks.

Python Sudoku is a text and graphical program (gtk interface) to create or resolve sudokus. Python Sudoku can also print a sudoku (1 or 4 sudokus in each page) and write a image (png, jpeg, etc) with a sudoku.

Sudoku, sometimes spelled Su Doku, is a placement puzzle, also known as Number Place in the United States.

The aim of the puzzle is to enter a numeral from 1 through 9 in each cell of a grid, most frequently a 9 x 9 grid made up of 3 x 3 subgrids (called "regions"), starting with various numerals given in some cells (the "givens").

Each row, column and region must contain only one instance of each numeral. Completing the puzzle requires patience and logical ability.

Its grid layout is reminiscent of other newspaper puzzles like crosswords and chess problems. Sudoku initially became popular in Japan in 1986 and attained international popularity in 2005.

rope is a Python IDE. Python ropes main goal is to provide features like auto-completion, refactorings, content assistance, and outlines.

Refactoring: In recent years refactoring has become a basic task of everyday programing, specially in java community. In the agile programing methodologies, like Extreme Programing, Refactoring is one of the core practices.
Some IDEs support some basic refactorings like PyDev (which uses bicycle repair man). These IDEs have a limited set of refactorings and fail when doing refactorings that need to know the type of objects in the source code (specially for relatively large projects). rope tries to provide a rich set of refactorings. Some of the refactorings require type inferencing which is described later.
Auto Completion: One of the basic features of modern IDEs is the availability of auto-completion. Some Python IDEs have auto-completion support but in a limited form. Since the type of many variables cannot be deduced from simple analysis of the source code. Auto-completing modules names, class names, static methods, class methods, function names and variable names are easy. But auto-completing the methods and attributes of an object is hard. Because the IDE needs to know the type of the object that cannot be achieved easily most of the time in dynamic languages. rope uses Type Inferencing algorithms to solve this problem.
Type Inferencing: One disadvantage of dynamic languages like python is that you cannot know the type of variables by a simple analysis of program source code most of the time. Knowing the type of variables is very essential for providing many of the refactorings and auto-completions. rope will use type inferencing to overcome this problem.

Static type inferencing uses program source code to guess the type of objects. But type inferencing python programs is very hard. There have been some attempts though not very successful (examples: psycho: only str and int types, StarKiller: wasnt released and ShedSkin: good but limited). They where mostly directed at speeding up python programs by transforming its code to other typed languages rather than building IDEs. Such algorithms might be helpful.

There is another approach toward type inferencing. That is the analysis of running programs. This dynamic approach records the types variables are assigned to during the program execution. Although this approach is a lot easier to implement than the alternative, it is limited. Only the parts of the program that are executed are analyzed. If developers write unit tests and use test driven development this approach works very well.

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.

Python in Scheme is a scheme library that allows you to run Python code within Scheme.

Python in Scheme project uses the Python/C API to embed a Python interpreter.