kandi X-RAY | docker-stacks Summary
kandi X-RAY | docker-stacks Summary
Jupyter Docker Stacks are a set of ready-to-run Docker images containing Jupyter applications and interactive computing tools. You can use a stack image to do any of the following (and more):.
Top functions reviewed by kandi - BETA
- Create a manifest for a given short image
- Append a build history line
- Write manifest file
- Return taggers and manifests for a given short image
- Return the current platform
- Return a markdown piece of packages
- Return a quoted output string
- Merge tags
- Writes tags to tags_dir
- Apply tags to image
- Update the wiki page
- Return markdown as a string
- Return markdown as a markdown string
- Return a markdown piece of a container
- Return a markdown section of the given container
docker-stacks Key Features
docker-stacks Examples and Code Snippets
:1:1: error: Could not find module ‘Numeric.LinearAlgebra’ Use -v to see a list of the files searched for. stack build hmatrix :!stack build hmatrix :!stack build hmatrix import Numeric.LinearAlgebra ident 3 (3><3) [ 1.0, 0.0, 0.0 ,
stack build ihaskell-magic stack exec ghc-pkg -- list | grep ihaskell ihaskell-0.9.1.0 ihaskell-aeson-0.3.0.1 ihaskell-blaze-0.3.0.1 ihaskell-gnuplot-0.1.0.1 ihaskell-hvega-0.2.0.0 ihaskell-juicypixels-18.104.22.168 ...
docker run -d -p 8888:8888 \ -v /some/host/folder:/etc/ssl/notebook \ jupyter/all-spark-notebook start-notebook.sh \ --NotebookApp.keyfile=/etc/ssl/notebook/notebook.key --NotebookApp.certfile=/etc/ssl/notebook/notebook.crt docker ru
Trending Discussions on docker-stacks
The background is, I'm responsible for maintaining a fancy Docker image that is used by our team for analytics. It uses a Jupyter notebook image as the base, and then adds various customisations, extra packages, etc.
One of the team members recently wanted to run Tensorflow. No problem, I'll just run
mamba install and add it to the image. However, this created an issue: Tensorflow 2.4.3 (the latest version) is somehow incompatible with R 4.1.1 (also the latest version) or something else in the ecosystem, causing R to to be downgraded to 3.6.3. So I created a new environment and installed TF into that:
ANSWERAnswered 2021-Sep-10 at 12:21
Not an expert on dockerfiles, but in general you could just use the
-n flag to the install command to specify the target environment for the installation like so:
I have a website where I document a list of installed pythonic libraries.
For each library, I want to have available:
- The name of the library (obviously)
- A link to the documentation for the library (because documentation is useful)
- A brief description of the library (so people can quickly see what the library does)
- The currently installed version (to stop people asking me "Are you using version x.y?")
My current solution is to use the name as the text of a link,
href'd to its documentation, and accept that the version & description are supplementary information, and can be made available to the user using a tool-tip - so they can sit in a
ANSWERAnswered 2021-Sep-08 at 08:25
focus-within rather than
I am trying to update an interactive matplotlib figure while in a loop using JupyterLab. I am able to do this if I create the figure in a different cell from the loop, but I would prefer to create the figure and run the loop in the same cell.
Simple Code Example:...
ANSWERAnswered 2020-Aug-21 at 06:52
You can use asyncio, taking advantage of the IPython event loop:
Jupyter Lab application features nice Terminas with in-browser terminal shell that support colours, navigation keys, and pretty much all standard features of a terminal application. In this question I mean
/lab app, not classic Notebook (
If I launch Jupyter server using this Docker image it works great. I need to build my own image, and preferably not based on that. I do it simply as documented:...
ANSWERAnswered 2020-May-04 at 23:28
So I figured out the reason. Apparently the Terminal web app just replicates the behaviour of the default shell of the user under which Jupyter is run. In this image they enable colouring in .bashrc template and then create a new user specifying a shell for him (lines 52 and 59).
SHELL=/bin/bash must be set in environment.
I customize the user notebook environment like so (installing custom python packages)...
ANSWERAnswered 2020-Apr-21 at 03:41
If you want to use R packages and jupyter notebook, I would suggest using
jupyter/r-notebook as a base image. To install R packages afterwards, install them with
No vulnerabilities reported
hostname is the name of the computer running Docker
token is the secret token printed in the console.
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