Julia Programming Language Added to Raspbian for Raspberry Pi
The Julia programming language has been officially integrated into the Raspbian operating system distribution for Raspberry Pi devices. This development allows users running the latest version of Raspbian to easily install Julia using the standard command 'apt-get install julia'. The announcement highlights that most common packages can be managed via Pkg, and Jupyter notebooks are supported through IJulia.jl instructions. While the language is compatible with all Raspberry Pi variants, the developers specifically recommend using the Raspberry Pi 3 for optimal performance. The scripts used to create the Julia package for Raspbian are publicly available in the 'julia-raspbian' repository within the JuliaBerry organization on GitHub. Furthermore, the Julia community is actively inviting contributions, encouraging readers to submit blog posts featuring example Jupyter notebooks, hardware-specific packages, or other projects involving Julia on ARM architecture. This integration significantly lowers the barrier to entry for developers interested in high-performance numerical computing on low-cost, single-board computers, expanding the ecosystem for educational and embedded applications.
Wire timeline
Julia Programming Language Added to Raspbian for Raspberry Pi
The Julia programming language has been officially integrated into the Raspbian operating system distribution for Raspberry Pi devices. This development allows users running the latest version of Raspbian to easily install Julia using the standard command 'apt-get install julia'. The announcement highlights that most common packages can be managed via Pkg, and Jupyter notebooks are supported through IJulia.jl instructions. While the language is compatible with all Raspberry Pi variants, the developers specifically recommend using the Raspberry Pi 3 for optimal performance. The scripts used to create the Julia package for Raspbian are publicly available in the 'julia-raspbian' repository within the JuliaBerry organization on GitHub. Furthermore, the Julia community is actively inviting contributions, encouraging readers to submit blog posts featuring example Jupyter notebooks, hardware-specific packages, or other projects involving Julia on ARM architecture. This integration significantly lowers the barrier to entry for developers interested in high-performance numerical computing on low-cost, single-board computers, expanding the ecosystem for educational and embedded applications.
JuliaLang - The Julia programming language