Showing 35 open source projects for "python data analysis"

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  • 1
    Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
    Downloads: 0 This Week
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  • 2
    MBDyn_sim_suite is a collection of free pre&post-processing tools and simulation models for the open-source multi-body analysis software MBDyn forming a general purpose simulation environment for structural dynamics with an emphasis on wind turbines.
    Downloads: 0 This Week
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  • 3
    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.
    Downloads: 1 This Week
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  • 4
    Museum portal based on Plone and PostgreSQL presenting archive-, photo-, subject matter and book materials in addition to online articles. Supports importing of data from museum systems in CIDOC XML format.
    Downloads: 0 This Week
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  • 5
    Whiki is a hierarchic data structure. This project contains a web content management system to handle a whiki database.
    Downloads: 0 This Week
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  • 6
    Yabman is a tool for managing bibliographic references. Its key features are a quality user interface, a carefully designed data model, and sophisticated three-state hierarchical reference labeling. It is currently usable but in a pre-alpha stage.
    Downloads: 0 This Week
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  • 7
    This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
    Downloads: 0 This Week
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  • 8
    This project is a collection of little programs in Python which use acoustics for various scientific fields.
    Downloads: 0 This Week
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  • 9
    Downloads: 0 This Week
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  • 10
    cosmos

    cosmos

    Algorithms that run our universe | Your personal library of every algo

    Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
    Downloads: 0 This Week
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