Search Results for "python data analysis"
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Showing 10 open source projects for "python data analysis"
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Extracts dependencies and OO metrics from Java class files produced by most Java compilers. Computes API differences between versions. No source needed. Includes both Swing and command-line interfaces, with XSL stylesheets for formatting output.
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The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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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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Iterative Flow Analysis
Iterative Data and Control Flow Analysis
https://github.com/jplevyak/ifa IFA, Iterative Flow Analysis is a combined data-flow and control flow analysis. It is capable of resolving the concrete types (as opposed to the nominal or declared types) and the interprocedural call graph for statically or dynamically typed programs. -
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Aurora Application Server is a new Python Web Application Server and Framework. The main goal of the project is to provide the developer with a complete set of tools to speed up the application development process. See project wiki for more information.
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Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.
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A python module for ultra simple handling of configuration files. Also useful for human readable data persistence. Flexible and simple. Source and issue tracking now at: https://github.com/DiffSK/configobj
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Libraries and tools to support software design using executable code as specifications, to support Test Driven Development and other Agile methods.
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The PyQt4D (Python Qt for Designer) is an Open Source Project making Qt Designer full-featured RAD (Rapid Application Development) tool to develop data-aware two- or multi-tier applications using Python language and Qt library.
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