Showing 3 open source projects for "data science"

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    OpenPEARL

    OpenPEARL

    PEARL Compiler and Runtime System

    PEARL is a high level procedural programming language, which was especially designed for the demanding need to have an expressive and comfortable language for solving multitasking problems when controlling technincal processes. PEARL is an abbreviation for "(P)rocess and (E)xperiment (A)utomation (R)ealtime (L)anguage". It was designed around 1975 at the IRT Institute of the Leibniz University in Hannover with the idea in mind to have an easy to learn programming language for realtime...
    Downloads: 1 This Week
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  • 2
    JSchemePlus

    JSchemePlus

    An hack of Jscheme with a lot of enhancements and additional features.

    JSchemePlus is an hack of Jscheme 1.4 by Peter Norvig. It allows to redistribute a script in an executable JAR file of only ~40K and implements all of R4RS with a lot of additional functions, like: (execute command) (random) (sequence from up-to step) (split list element) (string-split string sub-string) (read-all-from-file file) (write-to-file file data) (file-size file) etc... For the complete list read the HELP file or type (help). JSchemePlus needs only the Java Virtual Machine (version...
    Downloads: 0 This Week
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  • 3
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 3 This Week
    Last Update:
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