Merge pull request #276 from EVERSE-ResearchSoftware/virtual-env-page-fixes

Virtual env page fixes

Author: anenadic

_data/CONTRIBUTORS.yml

@@ -81,3 +81,9 @@ Esteban González:
     git: esgg
 Giacomo Peru:
     git: gperu
+Simon Christ:
+   git: BeastyBlacksmith
+   email: SimonChrist@gmx.de
+   orcid: 0000-0002-5866-1472
+   role: 
+   affiliation: Leibniz University Hannover

_data/tool_and_resource_list.yml

@@ -451,10 +451,6 @@
   id: conda
   name: Conda
   url: https://anaconda.org/anaconda/conda
-- description: Python project and dependency management and packaging tool
-  id: poetry
-  name: Poetry
-  url: https://python-poetry.org/
 - description: Semantic versioning (SemVer) is a widely-adopted version scheme that encodes a version of a project by a three-part version number (Major. Minor. Patch), an optional pre-release tag, and an optional build meta tag.
   id: semantic-versioning
   name: Semantic Versioning
@@ -463,12 +459,27 @@
   id: calendar-versioning
   name: Calendar Versioning
   url: https://calver.org/
+- description: Pkg.jl is a package manager for the Julia programming language.
+  id: pkg-jl
+  name: Pkg.jl
+  url: https://pkgdocs.julialang.org/v1/
+- description: Conan is an open source, decentralised and multi-platform package manager for C and C++ that allows for creating and sharing native binaries.
+  id: conan
+  name: Conan
+  url: https://conan.io/
+- description: Maven is a software project management and build automation tool used primarily for Java, but can also be used to build and manage projects written in C#, Ruby, Scala, and other programming languages.
+  id: maven
+  name: Maven
+  url: https://maven.apache.org/
+- description: Bundler is a Ruby gems and environment management tool for Ruby projects.
+  id: bundler
+  name: Bundler
+  url: https://bundler.io/
 - description: FAIR Python Cookiecutter is a cookiecutter template command-line tool to help you kickstart a modern best-practice Python project with FAIR metadata
   id: fair-python-coockiecutter
   name: FAIR Python Coockiecutter
   url: https://github.com/Materials-Data-Science-and-Informatics/fair-python-cookiecutter
 - description: Prettier is a code formatter to enforce a consistent style with its own rules for different languages, including JavaScript, TypeScript, Flow, JSX, JSON, CSS, SCSS, Less, HTML, Vue, Angular, GraphQL, Markdown, and YAML.
   id: prettier-code-formatter
   name: Prettier
-  url: https://prettier.io/
-  
+  url: https://prettier.io/  

pages/your_tasks/virtual_dev_environments.md

@@ -1,7 +1,7 @@
 ---
 title: Reproducible virtual software development environments
 description: What are virtual software development environments for reproducible research and how to use them?
-contributors: ["Aleksandra Nenadic"]
+contributors: ["Aleksandra Nenadic", "Simon Christ"]
 page_id: virtual_environments
 related_pages:
   your_tasks: []
@@ -64,8 +64,6 @@ They also enable you to use a specific older version of a package for your proje
 
 Most modern programming languages use some kind of virtual environments or a similar mechanism to isolate libraries or dependencies for a specific project, 
 making it easier to develop, run, test and share code with others. 
-Some examples include Bundler for Ruby, Conan for C++, or Maven with classpath for Java. 
-This can also be achieved with more generic package (dependency) managers like Spack, which is used extensively in HPC settings to resolve complex dependencies. 
 
 Part of managing a virtual software development environment involves installing, updating and removing external packages on your system. 
 You would need a package manager tool for your programming language to be able to do that - this is typically a command line tool that you invoke from 
@@ -83,6 +81,8 @@ Sometimes, a package manager combines both of these functionalities and you only
   a Python package and environment management system part of the Anaconda Python distribution (often used by the scientific community). {% tool "conda" %} has its own repository system separate from
   (but compatible with) PyPI that distributes non-Python packages packages as well and has its own non-venv-based virtual environment system.
   - If you are using R - consider {% tool "renv" %} that will help you build reproducible environments for your R projects
+  - For Julia programming language - check {% tool "pkg-jl" %}; for C++ - check {% tool "conan" %}, for Java - check {% tool "maven" %}, for Ruby - check {% tool "bundler" %}.
+  - There are some some generic tools to have a look at as well - e.g. [Spack][spack], [nix][nix], [guix][guix].
 - You need to decide what tools are best for you - based on your personal preferences, or what the software project and your team or community is
 already using (so you can get help when you need it). Not using virtual environments at all and mixing different tools to manage them could lead to
 a [bad example of a spaghetti setup][python-env-hell], not knowing which dependencies are being used and causing issues when running and debugging code.
@@ -98,3 +98,6 @@ a [bad example of a spaghetti setup][python-env-hell], not knowing which depende
 [renv]: https://rstudio.github.io/renv/index.html
 [ssi]: https://www.software.ac.uk/
 [python-env-hell]: https://xkcd.com/1987/
+[guix]: https://hpc.guix.info/
+[nix]: https://nixos.org/
+[spack]: https://spack.io/