Guide Julia

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Maintained by : the Docker Community.

Supported architectures : more info amd64 , arm32v7 , arm64v8 , i , windows-amd Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

This is the defacto image.

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If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container mount your source code and start the container to start your app , as well as the base to build other images off of.

Julia Scientific Programming

Some of these tags may have names like buster or stretch in them. These are the suite code names for releases of Debian and indicate which release the image is based on.

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  • If your image needs to install any additional packages beyond what comes with the image, you'll likely want to specify one of these explicitly to minimize breakage when there are new releases of Debian. For information about how to get Docker running on Windows, please see the relevant "Quick Start" guide provided by Microsoft:. Julia has very good multidimensional array capabilities.

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    • Check out the manual. Julia uses Dicts as associative collections. For loops can be defined in a number of ways. The simple.

      Julia Scientific Programming

      Packages extend the functionality of Julia's standard library. Plotting in Julia is only possible with additional Packages. Examples of some of the main packages are given below. The DataFrames. The iris.

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