From 21ea04d75e2d21eb3c9d75ee3d3ed623de19b54d Mon Sep 17 00:00:00 2001 From: Han Lu <11597940+ErbB4@users.noreply.github.com> Date: Thu, 1 Aug 2024 20:05:00 +0200 Subject: [PATCH] quick fix (#2377) <!-- Please make sure your PR follows our [contribution guidelines](https://github.com/arbor-sim/arbor/tree/master/doc/contrib) and agree to the terms outlined in the [PR procedure](https://github.com/arbor-sim/arbor/tree/master/doc/contrib/pr.rst). --> --- doc/install/spack.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/install/spack.rst b/doc/install/spack.rst index c3bac85b..b086a4ef 100644 --- a/doc/install/spack.rst +++ b/doc/install/spack.rst @@ -16,7 +16,7 @@ Arbor can be built with various options, just like the regular CMake build. For Why use Spack? -------------- -`Spack <https://spack.io>`_ is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures. +`Spack <https://spack.io>`_ is a package manager for supercomputers, Linux, and MacOS. It makes installing scientific software easy. Spack isn’t tied to a particular language; you can build a software stack in Python or R, link to libraries written in C, C++, or Fortran, and easily swap compilers or target specific microarchitectures. A powerful feature for users of scientific software is Spack's `Environment feature <https://spack.readthedocs.io/en/latest/environments.html>`_. One can define and store software environments for reuse, to generate container images or reproduce and rerun software workflows at a later time. -- GitLab