Search Results for "compiler python linux"
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88 programs for "compiler python linux" with 2 filters applied:
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IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
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Open source Algol 68 implementations
Implementations for the Revised Report language
This project offers open source implementations for UNESCO/IFIP's Algol 68 (the Revised Report language). The project offers two implementations: Implementation 1 is Algol68G: a recent checkout hybrid compiler/interpreter by Marcel van der Veer, supporting arbitrary arithmetic, partial parametrisation, complex numbers, POSIX threads, GNU plotutils, GNU scientific library, curses, sound, TCP sockets, RegEx and PostgreSQL. Inplementation 2 is algol68toc, a port by Sian Mountbatten... -
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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Libro
An interactive program for statistical analysis of texts
A cross-platform text analysis program written in Python and Free Pascal/Lazarus which scans a whole text file (in plain text, HTML, EPUB, or ODT formats) and ranks all used words according to frequency, performing a quantitative analysis of the text using Shannon-Weaver information statistic and Zipf power law function. It counts words, sentences, chars, spaces, and syllables. Also computes readability indexes (Gunning-Fog, Coleman-Liau, Automated Readability Index (ARI), SMOG grade, Flesch... -
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SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.
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QtiPlot is a user-friendly, platform independent data analysis and visualization application similar to the non-free Windows program Origin.
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This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data
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Buildes
A designer’s program for describing parts of the building
Buildes is an integrated development environment that assists the user in creating building information. It reads a text (session) file from which it compiles the information. It then allows the user to browse, analyze and export the resulting building knowledge. The compilation system is written in pure Python. The building components created are rendered in PythonOCC. The GUI is written using PyQt. -
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The Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new...
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. The code uses a mix of python... -
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math lib for .NET. n-dim arrays, complex numbers, linear algebra, FFT, sorting, cells- and logical arrays as well as 3D plotting classes help developing algorithms on every platform supporting .NET. Sources from SVN, binaries: http://ilnumerics.net
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SnowMicroPyn
Python based reader for SnowMicroPen® .pnt measurements
SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. The SMP is the first high-resolution snow penetrometer... -
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Pyphant is a framework for scientific data analysis. It features a flexible plugin architecture allowing for the application in many different fields. For the analysis a graph of processing steps is constructed, that can be applied via the cli as well.
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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IMPORTANT: The project moved over to github! You can find it at: https://github.com/exhuma/python-cluster
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BRAHMS is a Modular Execution Framework for dynamical systems. It knits together independently-authored software modules implementing dynamical processes into an integrated system, and supervises the deployment and execution of that system.
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Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
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Plotmeister is a data exploration tool. It parses your ASCII data and generates a simple (text-based) table format. You can modify this table and eventually create nice looking figures.
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Arachne
Exploration of a Hierarchical+Functional Approach To Data Organization
This is dedicated to development of a small class for organizing data in both a traditional parent<->child hierarchy and by the functions used to generate child data nodes from parent data. The core of the project is in the class definitions contained within arachne.py, a demonstration of how this method of arranging data can be used to solve a relatively interesting problem may be found in test.py -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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Feedisto is your personal newspaper. Your newspaper is collocted from rss feeds, parsed by a bayesian filter to rate its relevance and served as a static html page or on a webserver to train the filter. Writing plugins is very easy.
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Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
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This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
