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Description:

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. The library, mostly written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, FFTs, and string processing. Julia programs are organized around defining functions, and overloading them for different combinations of argument types (which can also be user-defined).

Homepage:

https://julialang.org/

Versions

Metadata

Description

• 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. The library, mostly written in Julia itself, also integrates mature, best-of-breed C and Fortran libraries for linear algebra, random number generation, FFTs, and string processing. Julia programs are organized around defining functions, and overloading them for different combinations of argument types (which can also be user-defined).

Maintainers

• Matthias Maier (tamiko@gentoo.org) - Type: person
• Gentoo Science Project (sci@gentoo.org) - Type: project

Upstream

• Remote IDs:
  • github: JuliaLang/julia

<pkgmetadata>
	<maintainer type="person">
		<email>tamiko@gentoo.org</email>
		<name>Matthias Maier</name>
	</maintainer>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<longdescription lang="en">
		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. The library, mostly written
		in Julia itself, also integrates mature, best-of-breed C and Fortran
		libraries for linear algebra, random number generation, FFTs, and
		string processing. Julia programs are organized around defining
		functions, and overloading them for different combinations of
		argument types (which can also be user-defined).
	</longdescription>
	<upstream>
		<remote-id type="github">JuliaLang/julia</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Warning] Missing md5-cache for version 9999. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.9.4-r1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.8.5-r1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.8.3-r1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.12.1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.11.5-r1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.10.9. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.
• [Warning] Missing md5-cache for version 1.10.0-r1. Run 'ebuild <ebuild_file> manifest' or 'egencache' to generate it.

Manifest