Showing 6 open source projects for "linux 32 bits"

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  • 1
    DoubleFloats.jl

    DoubleFloats.jl

    Math with more good bits

    Math with 85+ accurate bits. Extended precision float and complex types.
    Downloads: 0 This Week
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  • 2
    DataStructures.jl

    DataStructures.jl

    Julia implementation of Data structures

    Julia implementation of Data structures.
    Downloads: 0 This Week
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  • 3
    Setfield.jl

    Setfield.jl

    Update deeply nested immutable structs

    Update deeply nested immutable structs. We plan to maintain Setfield.jl for a long time. We will however not add new features.
    Downloads: 0 This Week
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  • 4
    ImageInTerminal.jl

    ImageInTerminal.jl

    Julia package for displaying images in the terminal using ANSI colors

    ImageInTerminal is a drop-in package that once imported changes how a single Colorant and whole Colorant arrays (regular images) are displayed in the interactive REPL. The displayed images will be downscaled to fit into the size of your active terminal session. By default, this package will detect if your running terminal supports 24-bit colors (true colors). If it does, the image will be displayed in 24-bit colors, otherwise, it falls back to 8-bit (256 colors).
    Downloads: 0 This Week
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  • 5
    jlrs

    jlrs

    Julia bindings for Rust

    jlrs is a crate that provides access to most of the Julia C API, it can be used to embed Julia in Rust applications and to use functionality it provides when writing ccallable functions in Rust. Currently, this crate is only tested in combination with Julia 1.6 and 1.9, but also supports Julia 1.7, 1.8, and 1.10. Using the current stable version is highly recommended. The minimum supported Rust version is currently 1.65. Julia must be installed before jlrs can be used, jlrs is compatible...
    Downloads: 0 This Week
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  • 6
    PythonCall & JuliaCall

    PythonCall & JuliaCall

    Python and Julia in harmony

    Bringing Python® and Julia together in seamless harmony. Call Python code from Julia and Julia code from Python via a symmetric interface. Simple syntax, so the Python code looks like Python and the Julia code looks like Julia. Intuitive and flexible conversions between Julia and Python: anything can be converted, you are in control. Fast non-copying conversion of numeric arrays in either direction: modify Python arrays (e.g. bytes, array. array, numpy.ndarray) from Julia or Julia arrays...
    Downloads: 0 This Week
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