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https://github.com/jaykul/docker-containers
My small collection of Dockerfiles
https://github.com/jaykul/docker-containers
Last synced: about 1 month ago
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My small collection of Dockerfiles
- Host: GitHub
- URL: https://github.com/jaykul/docker-containers
- Owner: Jaykul
- License: unlicense
- Created: 2018-04-20T04:53:05.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2019-04-01T06:00:36.000Z (almost 6 years ago)
- Last Synced: 2024-10-28T10:20:46.551Z (3 months ago)
- Language: Dockerfile
- Size: 18.6 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Jaykul's Docker Images
This is just a repository of dockerfiles. It currently consists mostly of images I made during the building and testing of my [Jupyter PowerShell Kernel](https://github.com/Jaykul/Jupyter-PowerShell), including one for a container with the latest .NET Core SDK and PowerShell, and some compiled output images with jupyter configured to auto-start.
## PowerShell
I have two PowerShell base images here which are only special because they have the latest .NET Core SDK image included, with the latest PowerShell release installed on top, and _set as shell_.
It's important to realize that this image is running PowerShell Core as the `SHELL` in docker, so if you use it, any thing you `RUN` in it runs in PowerShell by default.
You can try it by running:
```posh
docker run -it jaykul/powershell
```
One side note: both of these boxes have `git` preinstalled (it comes in the debian stretch image, but I added it to the nanoserver image).
## Jupyter
The base images here are [jupyter's `-notebook` images](https://hub.docker.com/r/jupyter) and they run bash. Note that these are not pure debian stretch, but ubuntu xenial. They are the base and minimal notebook images from jupyter, with my [PowerShell Kernel](https://github.com/Jaykul/Jupyter-PowerShell) installed and registered.
The dockerfiles here are actually Multi-Stage files, they start with the PowerShell image I mentioned above, `git clone` the kernel and compile it, and then copy the compiled kernel into the jupyter base images...
You can try it by running:
```posh
docker run -it --rm -p 8888:8888 jaykul/powershell-notebook-base
```
### A few extra points
* You can use the new Jupyter Labs interface by specifying the `JUPYTER_ENABLE_LAB` environment variable.
* You can map a folder on your computer into the jupyter environment by specifying a subfolder of `/home/jovyan` as the destination
* The `powershell-notebook` image is slighly
```posh
docker run -it --rm -p 8888:8888 -v $pwd:/home/jovyan/work -e JUPYTER_ENABLE_LAB=1 jaykul/powershell-notebook
```