Showing 104 open source projects for "c# source code"

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  • 1
    julia-vim

    julia-vim

    Vim support for Julia.

    Vim support for Julia. This plug-in adds some functionality to substitute LaTeX code sequences (e.g. \alpha) with corresponding Unicode symbols (e.g. α). By default, these substitutions must be triggered explicitly by pressing the Tab key, as in the Julia command line (the REPL); however, an automatic, as-you-type mode can also be activated, and a method based on keymap is also available. This feature also works in command mode, e.g. when searching the files with the / or ? commands, but the...
    Downloads: 0 This Week
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  • 2
    TerminalMenus.jl

    TerminalMenus.jl

    Simple interactive menus for the terminal (Now ships with Julia!)

    This package has been merged into the Julia standard library. As such, you probably just want to using REPL.TerminalMenus and skip the Installation instructions. The RadioMenu allows the user to select one option from the list. The request function displays the interactive menu and returns the index of the selected choice. If a user presses 'q' or ctrl-c, request will return a -1.
    Downloads: 0 This Week
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  • 3
    BERT

    BERT

    Connector for Excel and the programming languages R and Julia

    BERT is a tool for connecting Excel with the statistics language R. Specifically, it’s designed to support running R functions from Excel spreadsheet cells. In Excel terms, it’s for writing User-Defined Functions (UDFs) in R. All you have to do is write the function. Everything else – loading the function into Excel, managing parameters, and handling type conversion – is done automatically for you. It really could not be any easier. BERT also has a console that you can use to control Excel...
    Downloads: 1 This Week
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  • 4
    ParallelAccelerator.jl

    ParallelAccelerator.jl

    ParallelAccelerator package, part of the High Performance Scripting

    ParallelAccelerator is a Julia package for speeding up compute-intensive Julia programs. In particular, Julia code that makes heavy use of high-level array operations is a good candidate for speeding up with ParallelAccelerator. With the @acc macro that ParallelAccelerator provides, users may specify parts of a program to accelerate. ParallelAccelerator compiles these parts of the program to fast native code. It automatically eliminates overheads such as array bounds checking when it is safe...
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