Search Results for "python data analysis" - Page 6
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Showing 230 open source projects for "python data analysis"
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This project aims to develop a R package in S4 language to analyse fisheries data collected in Europe by all Fisheries Institutes under EU regulation on data collection (DCR).
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PyPedal is a Python module that provides tools for the manipulation of pedigrees, simple visualization of pedigrees, and the calculation of measures of genetic diversity from pedigrees.
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Gavrog stands for "Generation, Analysis and Visualization of Reticular Ornaments using Gavrog". It is a Java library together with a suite of interactive applications for the study of periodic net-like structures in space and their applications.
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Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
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Crispy Plotter is a function graph plotter for mathematical functions, featuring high drawing speed and an intuitive interface that is fun to use.
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UDAV is program for data arrays visualization based on MathGL library. It support wide spectrum of graphics, simple script language and visual data handling and editing.
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OpenForecast is a package of general purpose, forecasting models written in Java that can be applied to any data series. No knowledge of forecasting is required. Using this package, the most appropriate algorithm for your data will be selected.
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A collection of compact, powerful programs and functions, written in C, for the analysis and transformation of data. No object or structure dependencies, no fancy interfaces - just good tools.
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The final build of this software now is distributed in R, embedded in "RedeR': an R/Bioconductor package for hierarchical and nested network analysis... more about RedeR: http://bioconductor.org/packages/2.9/bioc/html/RedeR.html
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BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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gfit creates an interface between computational models and experimental data and provides tools for their analysis
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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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A population-based method for DNA copy number analysis: recurrent copy number aberration indentification in multiple samples (with no need of single-sample calling). Developed for a quick analysis of high resolution and large population data.
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This software aims help students of analytic geometry courses by visualizating several key concepts.
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This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
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QuoteBlizzard provides a platform for technical analysis of trading and historic data backtesting of trading strategies.
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An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.
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Stand-alone software tool for the interactive CE analysis of microarray data. The software is a user-friendly and allows on-the-fly study of CE
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1. Create an object-oriented python script that can represent mathematical concepts and their properties. 2. Represent all numeric values exactly. 3. Provide a variety of formats to export or embed representations of the mathematical concepts.
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Hier wird die Versionsverwaltung (SVN) für die LaTeX-Mitschrift der Vorlesung "Analysis für Informatiker und Statistiker" gehostet. Diese findet im WS 2009/2010 an der LMU München statt.
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Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
