Search Results for "python data analysis" - Page 4
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Showing 120 open source projects for "python data analysis"
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PyGTS is a python package used to construct, manipulate, and perform computations on triangulated surfaces. It is a hand-crafted and pythonic binding for the GNU Triangulated Surface (GTS) Library. THIS PROJECT IS NOT BEING MAINTAINED.
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TaDaPro is a command-line utility to operate with numerical column tabulated data. It is intended for operations that are cumbersome to do by hand in a spreadsheet, and for transformations that have to be applied as a batch process on many files.
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
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PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.
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MathBench
A Python IDE optimized for scripting and easy access to documentation.
Not a whole lab, just a small bench ! **Feel free to contact me via https://sourceforge.net/sendmessage.php?touser=1865508 if you want to take over this project** Mathbench is intended for the development of short scripts such as those daily used when doing research in applied mathematics and physics. Simple widgets and a strong plugin system make it useful and extensible. ANNOUCEMENT: Mathbench's purpose is still relevant and could also benefit from the latest improvements of... -
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PetriKit is a modular toolkit for Petri Net analysis. It allows the extraction of basic properties, extraction of invariants, and generation of reachability graph. Results can be formatted in plain text, HTML or XML files.
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The Toolkit for Advanced Discriminative Modeling (TADM) is a C++ implementation for estimating the parameters of discriminative models, such as maximum entropy models. It uses the PETSc and TAO toolkits to provide high performance and scalability.
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This project will provide translation of mathematical content, from TeX to MathML and vice-versa, and to graphics formats, as a web service. TeX, running as a daemon, is used for mathematical typography.
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Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
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DragonFire is a compilation of various mathamatical formulas and theorms from algebra (and soon, Calculus). It shows users the formula for them to learn/use, or lets them enter data for DragonFire to compute.
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C++ and Python based open source graph visualization and analysis software, primarily intended for use in the analysis of social networks (other applications are also conceivable).
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Mos2Gnu is a conversion utility to generate a GNU MathProg description file, understandable by the GNU Linear Programming Kit from the proprietary X-Press Mosel's file format
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An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.
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Tk-based standalone graphing system and extensible graphing library with a huge range of 2d modes (maybe 3d soon?) written in Python (Python/Tk are 100% cross platform)
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MayaVi is a free, cross platform, easy to use scientific data visualizer. It provides a GUI to ease the visualization process, is written in Python and uses the Visualization Toolkit (VTK) for the graphics.
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SciGraphica is a scientific data visualization and analysis application, supplying many of the basic plotting features for 2D and 3D charts. It features opening several worksheets and plots to work with at the same time and PS output.
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pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
