Julia is a high-level, high-performance, dynamic programming language. While it is a general-purpose language and can be used to write any application, many of its features are well suited for numerical analysis and computational science.
What's new in 1.24.0.0
What's Changed - tests: Copy executables with cp to avoid ETXTBSY by @maleadt in https://github.com/JuliaLang/juliaup/pull/1650 - Check the HTTP status before extracting a downloaded archive by @maleadt in https://github.com/JuliaLang/juliaup/pull/1649 - Support riscv64 Linux by @maleadt in https://github.com/JuliaLang/juliaup/pull/1648 - [AUTO] Update version db by @github-actions[bot] in https://github.com/JuliaLang/juliaup/pull/1647 Full Changelog: https://github.com/JuliaLang/juliaup/compare/v1.23.0...v1.24.0