Search Results for "python code" - Page 4
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Showing 110 open source projects for "python code"
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Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
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Jostraca is a general purpose code generation toolkit for software developers, using a syntax similar to JSP. Jostraca can be extended to generate code in any language, using any language, while placing no restrictions on software design.
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FGL is a tightly-integrated self-contained development & execution environment utilizing best-of-breed programming tools and methodologies, optimized web/application server, highly-scalable relational/object database, and robust extension interface.
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The converter performs automatically the full process of converting the files of a C project into the equivalent C++ files. Classes are created, var and functions becomes attributes and methods and the changes are propagated into all files.
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This project has been renamed "pycopia", and extended. This is no longer maintained. Pycopia is hosted at Google code hosting. Please go to: http://code.google.com/p/pycopia/
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PAWed is a simple, easy to use, source code editor, written for GNOME2 and utilising Scintilla, which is extensible through plugins (e.g. HTML Tidy plugin) and Python scripting.
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Compiler for message-passing network protocols, currently based on UDP. APC is written in Python and produces C code. It includes a C run-time library.
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Enumerations is a collection of C, C++ and Python files containing, surprise, enumerations. These files are generated from xml files via python scripts.
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PWIG is a SWIG extension that allows new language modules to be developed on Python. Includes a PWIG wrapper generator for SWI-Prolog and Logtalk.
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"Web Test Tools" is an open source project which provides tools for different kind of testing such as unit tests (JUnit), and different kinds of tests for applications. Additionaly you can download here good implementation of internet protocols in Java.
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k2development consists of Assembler,Linker and other necessary Tools to build 6502 Assembly Language Programs.
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A microkernel operating system distribution offering (among other things) very low hardware requirements, full and easy portability and easy-readable source code.
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This XML-based language will allow easy creation and integration of Game Map and Object definitions for any game.
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yapm is a packaging system to automate the generation of Makefiles and rpm.spec files for developers. I will not be working on it again, as i have dumped my redhat distro (and other rpm based distro's) for gentoo
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The OO component based XML processing framework.The goal is to make the XML developer's life easier.It's going ot achieve that by providing reusable components for all stages of XML processsing with easy language and application binding.
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Matlab/Octave to Python conversion facility. The tool will take existing scripts and convert them to Python. Also includes Python bindings to Octave and a small runtime support library. Built on top of Numeric Python extensions.
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Tools for extracting and transforming XML-like mark-up, embedded in source code comments, into proper external entities or well-formed XML files. Can be used for JavaDoc-like "literate programming", or embedding other build-related or CM metadata.
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CheetahWizard is an extension of the Cheetah template engine and code generator. It makes easier the use of Cheetah for the generation of multiple documents from templates in a local environment and provides a Wizard-GUI to fill in necessary information t
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Glimmer is a code editor for GNOME, using Python as a scripting language for extending it's capabilities.
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mySAL -- A simple single assignment language Single assignment languages are a kind of "functional" language where the parallelism is easy to discover. mySAL is a relative of SISAL, and old and distinguished SAL. The provided compiler and runtime
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Designed to aid in the conversion of Python modules to C extension modules while keeping the same interface into the module. This will make it easier to convert existing Python code into C code to give it a speed boost without changing to existing code
