Free python c api software for linux

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!

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"

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.

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.

The code is appropriately documented and API reference is generated automatically by epydoc. Comments, bug reports and suggestions are welcome.

Major Features:

1. Support for directed, undirected, weighted and non-weighted graphs
2. Support for hypergraphs
3. Canonical operations
4. XML import and export
5. DOT-Language output (for usage with Graphviz)
6. Random graph generation
7. Accessibility (transitive closure)
8. Breadth-first search
9. Cut-vertex and cut-edge identification
10. Depth-first search
11. Heuristic search (A* algorithm)
12. Identification of connected components
13. Minimum spanning tree (Prims algorithm)
14. Mutual-accessibility (strongly connected components)
15. Shortest path search (Dijkstras algorithm)
16. Topological sorting

Enhancements: Fixes an installer bug.

Requirements: Python

Python chess module project is a Python chess move adjudicator module.
Python chess module does not know how to play chess, but does understand the rules enough that it can watch moves and verify that they are correct.
It features high abstraction, understands various notations (including algebraic, long algebraic, and standard algebraic notation), does disambiguation, and supports saving and loading the state of a game.
Main features:
- high abstraction
- understands various notations, including algebraic, long algebraic, and standard algebraic notation (as in PGN); does disambiguation
- supports saving and loading of the state of a game
- not a trivial move processor; understands the intracies of the game
Enhancements:
- Bug with en passant moves fixed.

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.

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.