#repo2docker 搜索结果
Binder is both a wonderful community and federation of allies, but also a beautiful orchestration of tools built to support scalability and reproducibility. #GitHub #Repo2Docker #Docker #JupyterHub #Binder! #TuringCogX #CogX2020 #TuringTPS
Here is an example of how to build and deploy a #jupyter-#repo2docker container, all just using @github and @circleci ! github.com/jupyter/repo2d… Please see point 2. here github.com/jupyter/repo2d… let's discuss and I'll open a PR!
Newly added #containershare templates for #R (including @rstudio!) along with @anacondainc! All via #repo2docker with @circleci continuous building to @Docker Hub & metadata back to @github pages! It's never been this easy to do #reproduciblescience! woot! github.com/vsoch/containe…
hey friends! I missed the fun at @JupyterCon but finished up a #repo2docker @ProjectJupyter #containershare for you so you can share your work! Check it out at github.com/vsoch/repo2doc… and thanks to @steve_silvester for the #nodejs wisdom.
Just had my first PR merged into #repo2docker! Now #repo2docker uses #conda 4.7.5. Binder instances using #conda should now solve/build a little faster. Thanks @mybinderteam for providing such a great service!
There's #Jyve (#WASM) but there's probably an easier way to build for ARM with #repo2docker and #REES?
Cocalc w/ #repo2docker:
When you install R pkgs w/ conda, you can generate an environment.yml for reproducibly publishing with @mybinderteam (#repo2docker) `conda env export --from-history` repo2docker also supports install.R files repo2docker.readthedocs.io/en/latest/conf… CoCalc w/ repo2docker doc.cocalc.com/software.html#…
/? #mambaforge in a #repo2docker container is not as initially fast as a kitchen-sink container like cocalc, ml-workspace, ml-hub, or Kaggle/docker-python; but there is less excess surface area to cover
mambaforge is the best Python distribution out there: * mamba is much faster than conda, and API compatible * conda-forge is default and provides the most up-to-date packages for everything * only comes with the minimum amount of packages necessary github.com/conda-forge/mi…
This could be done with a CAS and Jupyter notebooks; and optionally graded exercises. #repo2docker #latex2sympy
The SymPy and Sage CAS systems both have _repr_latex_ implemented, so if you display an (executable) expression/equation, it'll display with MathJax in the notebook. sympy.init_printing() docs.sympy.org/latest/tutoria… %display latex ask.sagemath.org/question/31607…
"#repo2docker can build a reproducible computational environment for any repository that follows The Reproducible Execution Environment Specification. repo2docker is called with the URL of a Git [repo], a Zenodo DOI or a path to a [local dir]. It then" repo2docker.readthedocs.io/en/latest/usag…
Thx! @mltooling /ml-workspace & ml-hub have JupyterLab and VScode all-in-one with 1 docker [compose] cmd, too; though not the @cocalc time slider with {*, LaTeX} or the new jupyterlab/rtc. There's probably already a #repo2jupyterlite that works like #repo2docker? #jupyterlite
From "I can run #K3D and #repo2docker on the it works on my machine" to "A layered approach to container and #Kubernetes security" (2020) redhat.com/en/resources/l…
When you archive a GH repo: "This repository has been archived by the owner. It is now read-only." But #repo2docker and @mybinderteam should work if the *software* versions are pinned in the environment.yml. Presumably it's best to dl datasets w/ DVC in a postBuild #REES script?
2/2 d) (optional) Make the code executable (e.g. #repo2docker, what is used in @mybinderteam) e) (optional) Enable editing/posting new versions (like arXiv), so that if eg a comment reveals something new, it can be incorporated.
#repo2docker (@mybinderteam,) supports building conda envs if there's an /environment.yml or an /.binder/environment.yml @condaforge @anacondainc @pwang
Solutions: - an embedded browser - open in Jupyter shortcut "test -e x || exec jupyter-lab & open default webbrowser to {jupyter_uri}/{nb_path}" - #nbhandler: ~desktop BinderHub w/ #repo2docker (#REES)
nbhandler idea: > Launch a notebook server locally from a link or a downloaded file; like binder for the desktop > Could BinderHub be modified to enable simple local desktop installs? github.com/westurner/nbha…
github.com
#1 · Issue #1 · westurner/nbhandler
Objectives: Launch a notebook server locally from a link or a downloaded file; like BinderHub for the desktop Platforms: Linux MacOS Windows Workflow: User installs nbhandler installer installs a U...
Idea: - [ ] ENH: A @readthedocs rolodex like extension for opening and searching the docs for a default and the current env would be neat - ENH: env introspection - #repo2docker; #REES. @mybinderteam - nb_conda_kernels + parse_reqs(*.yml+*.lock) github.com/Anaconda-Platf…
#BinderHub builds containers with #repo2docker; which builds from any of the config files that #REES (Reproducible Execution Environment Specification) supports: environment.yml, requirements.txt, postBuild, … repo2docker.readthedocs.io/en/latest/spec… Configuration Files: repo2docker.readthedocs.io/en/latest/conf…
@code @pythonvscode Anything similar for VScode.dev planned? (maybe with the pyodide WASM kernel vscode extension w/ pthreads, #repo2docker/#repo2jupyterlite (#REES))
#BinderHub builds containers with #repo2docker; which builds from any of the config files that #REES (Reproducible Execution Environment Specification) supports: environment.yml, requirements.txt, postBuild, … repo2docker.readthedocs.io/en/latest/spec… Configuration Files: repo2docker.readthedocs.io/en/latest/conf…
Cocalc w/ #repo2docker:
When you install R pkgs w/ conda, you can generate an environment.yml for reproducibly publishing with @mybinderteam (#repo2docker) `conda env export --from-history` repo2docker also supports install.R files repo2docker.readthedocs.io/en/latest/conf… CoCalc w/ repo2docker doc.cocalc.com/software.html#…
/? #mambaforge in a #repo2docker container is not as initially fast as a kitchen-sink container like cocalc, ml-workspace, ml-hub, or Kaggle/docker-python; but there is less excess surface area to cover
mambaforge is the best Python distribution out there: * mamba is much faster than conda, and API compatible * conda-forge is default and provides the most up-to-date packages for everything * only comes with the minimum amount of packages necessary github.com/conda-forge/mi…
Idea: - [ ] ENH: A @readthedocs rolodex like extension for opening and searching the docs for a default and the current env would be neat - ENH: env introspection - #repo2docker; #REES. @mybinderteam - nb_conda_kernels + parse_reqs(*.yml+*.lock) github.com/Anaconda-Platf…
schema.org/ScholarlyArtic…: Yeah, someone could do that. ScholarlyArticle + Code + *Tests* + Sustainable revenue sharing model: Win/Win REES: #repo2docker & #repo2jupyterlite for archivable reproducibility, #jupyterhub, #binderhub Git tag, Container URL version hash, DOI
Thx! @mltooling /ml-workspace & ml-hub have JupyterLab and VScode all-in-one with 1 docker [compose] cmd, too; though not the @cocalc time slider with {*, LaTeX} or the new jupyterlab/rtc. There's probably already a #repo2jupyterlite that works like #repo2docker? #jupyterlite
Generate #JSONLD from all of the things! Maybe with #repo2docker or #SBOM tools? #LinkedReproducibility #lr #LinkedResearch
"#repo2docker can build a reproducible computational environment for any repository that follows The Reproducible Execution Environment Specification. repo2docker is called with the URL of a Git [repo], a Zenodo DOI or a path to a [local dir]. It then" repo2docker.readthedocs.io/en/latest/usag…
#repo2docker can build a container from the exact software reqs spec'd in e.g. user/repo/environment.yml (#REES). Reproducible: pin exact versions SECURE: Upgrade all software dependencies (#SBOM) and run *automated tests* regularly
#DVC branching with metric tracking looks pretty neat: dvc.org/features IDK how @dvcorg branches compare with @pachyderminc #pachyderm branches; though it looks like per-branch metrics aren't yet implemented? docs.pachyderm.com/latest/concept…
When you archive a GH repo: "This repository has been archived by the owner. It is now read-only." But #repo2docker and @mybinderteam should work if the *software* versions are pinned in the environment.yml. Presumably it's best to dl datasets w/ DVC in a postBuild #REES script?
Solutions: - an embedded browser - open in Jupyter shortcut "test -e x || exec jupyter-lab & open default webbrowser to {jupyter_uri}/{nb_path}" - #nbhandler: ~desktop BinderHub w/ #repo2docker (#REES)
nbhandler idea: > Launch a notebook server locally from a link or a downloaded file; like binder for the desktop > Could BinderHub be modified to enable simple local desktop installs? github.com/westurner/nbha…
github.com
#1 · Issue #1 · westurner/nbhandler
Objectives: Launch a notebook server locally from a link or a downloaded file; like BinderHub for the desktop Platforms: Linux MacOS Windows Workflow: User installs nbhandler installer installs a U...
From "I can run #K3D and #repo2docker on the it works on my machine" to "A layered approach to container and #Kubernetes security" (2020) redhat.com/en/resources/l…
Check out this @github blog that describes how you can use #GitHubActions to automatically add @mybinderteam badges in Pull Requests! There is also a #repo2docker action available for you to implement in your workflows! 🤖 github.blog/2020-06-17-usi…
Would this be similar in function to GH Codespaces; but with #repo2docker #REES support?
You can probably already run Jupyter Notebooks in @vscode with @github #codespaces (docker containers)? code.visualstudio.com/docs/python/ju… IDK how to use #repo2docker (#REES) with codespaces?
Binder is both a wonderful community and federation of allies, but also a beautiful orchestration of tools built to support scalability and reproducibility. #GitHub #Repo2Docker #Docker #JupyterHub #Binder! #TuringCogX #CogX2020 #TuringTPS
You can probably already run Jupyter Notebooks in @vscode with @github #codespaces (docker containers)? code.visualstudio.com/docs/python/ju… IDK how to use #repo2docker (#REES) with codespaces?
This could be done with a CAS and Jupyter notebooks; and optionally graded exercises. #repo2docker #latex2sympy
The SymPy and Sage CAS systems both have _repr_latex_ implemented, so if you display an (executable) expression/equation, it'll display with MathJax in the notebook. sympy.init_printing() docs.sympy.org/latest/tutoria… %display latex ask.sagemath.org/question/31607…
When you install R pkgs w/ conda, you can generate an environment.yml for reproducibly publishing with @mybinderteam (#repo2docker) `conda env export --from-history` repo2docker also supports install.R files repo2docker.readthedocs.io/en/latest/conf… CoCalc w/ repo2docker doc.cocalc.com/software.html#…
Here is an example of how to build and deploy a #jupyter-#repo2docker container, all just using @github and @circleci ! github.com/jupyter/repo2d… Please see point 2. here github.com/jupyter/repo2d… let's discuss and I'll open a PR!
hey friends! I missed the fun at @JupyterCon but finished up a #repo2docker @ProjectJupyter #containershare for you so you can share your work! Check it out at github.com/vsoch/repo2doc… and thanks to @steve_silvester for the #nodejs wisdom.
Newly added #containershare templates for #R (including @rstudio!) along with @anacondainc! All via #repo2docker with @circleci continuous building to @Docker Hub & metadata back to @github pages! It's never been this easy to do #reproduciblescience! woot! github.com/vsoch/containe…
Binder is both a wonderful community and federation of allies, but also a beautiful orchestration of tools built to support scalability and reproducibility. #GitHub #Repo2Docker #Docker #JupyterHub #Binder! #TuringCogX #CogX2020 #TuringTPS
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