Search Results for "python programming language" - Page 3
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140 projects for "python programming language" with 2 filters applied:
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jHepWork
jHepWork was a name of the DataMelt program in 2005-20013
jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org) -
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pyisocalc
Isotopic pattern calculator in python 2.x
This is an isotopic pattern calculator written in python. It depends on re, sys, numpy, operator, itertools, and matplotlib. -
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KSR10 USB Python controller
Control the KSR10 Robot Arm (Velleman) through USB with Python.
This project aims to control the KSR10 Robot Arm (Velleman) through USB with the programming language Python. Requirements: - Python (tested with version 2.6 and 2.7) - modules: pyusb (wich on itself requires libusb or openusb) -
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Decision Table Preprocessor
Ccide is a Decision Table preprocessor.
Ccide reads a source program, in one of several programming languages, expands all embedded decision tables, and generates the new, expanded source. Ccidew processes C language programs directly. The script, ccide, uses ccidew and m4, to process BASIC, JAVA, CC, C++, BASH, QB, VB, and EX(euphoria), source files containing embedded decision tables. Ccide checks all conditions once and only once, avoiding side effects. Ccide checks tables for conflicts and other errors. Input... -
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Pysimony
A Pythonic Implementation of Parsimony Inference of Phylogeny
UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An unlikely-to-be-the-most... -
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OPyCua
OPC UA communication stack written in python
The goal of this project is to implement an OPC UA communication stack using the python programming language. Currently we are working on a series of articles, describing how we can use python to implement the communication stack. Some code snippets have already been written! -
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A language and a compiler for the solution of differential equations (ODE). Both lumped and distributed variables (PDE) will be possible. The ability to solve DAEs is a long term goal. The compiler generates a Python program that does the computation.
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Open Bayes is a python free/open library that allows users to easily create a bayesian network and perform inference/learning on it. It is mainly inspired from the Bayes Net Toolbox (BNT) but uses python as a base language. www.openbayes.org
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aal
The Advanced Algebraic Language.
The Advanced Algebraic Language (AAL) is a very dynamic programming language designed to fill the void that has appeared between mainstream languages and algebra. As a result its main focus is ease of use for math problems. To download AAL check out the source code repository. There are versions available for windows and linux with both 32 and 64 bit native binaries: http://svn.code.sf.net/p/aal-lang/code/trunk/bin/ -
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OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.
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XPSEDAPI is a cross-platform (programming language agnostic) definition of an application programming interface for working with and manipulating SED-ML documents. Interfaces are defined in Interface Definition Language (IDL) with full documentation.
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General purpose discrete event simulation (DES) framework for the Python programming language. Khronos gathers ideas from other simulation software and tries to provide a simple and poweful toolset for simulation of discrete systems.
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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A simple and still alpha Python script to extract features out of an OpenStreetMap (OSM) file into basic Keyhole markup language (KML)
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This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
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Tsunami is an open-source high performance computing language. With it you can write streaming data-parallel algorithms that utilize GPGPUs for orders-of-magnitude speed-up with the ease of writing sequential algorithms.
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haggies is an optimizing code generator. It can read in expressions in common notation and generate output for many programming languages including C/C++, Java, Fortran, Python and many others.
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ESML is an interchange technology that utilizes external metadata to allow applications to plug and play seamlessly with Earth Science specific datasets in heterogeneous formats.
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A cross-platform, text-interpreting calculator written in the Java programming language. Runs on any computer with Java 6 or higher installed. Functions much like a Ti-84, but without the graphing utility.
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OpenDWS is a hobby project to create a datawarehousing suite that: - Can work on different OS - Federates databases - Can run Data analyses using plugins on different databases This project is programmed in Python Language.
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Pi combines a programming language (comparable to 'R') with an advanced GUI including 3D and 2D visualizations and a highly flexible interface to analyse, visualize and manipulate data. It is extendible by C++ librarys as well as by Pi-scripts
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Pypar is an efficient but easy-to-use module that allows programs written in Python to run in parallel on multiple processors and communicate using MPI. Pypar development has moved to http://code.google.com/p/pypar/
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A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
