- #Docker remove container command macbook install#
- #Docker remove container command macbook mac#
- #Docker remove container command macbook windows#
If you don't run this you will have a new image every time. This is for when you want to run your system later. Start the same container later (persistent disk)
#Docker remove container command macbook install#
Sudo apt install qemu qemu-kvm libvirt-clients libvirt-daemon-system bridge-utils virt-manager Sudo pacman -S qemu libvirt dnsmasq virt-manager bridge-utils flex bison ebtables edk2-ovmf Then have QEMU on the host if you haven't already: # ARCH Need to turn on hardware virtualization in your BIOS, very easy to do. # scroll down to troubleshooting if you have problems Pull requests, suggestions very welcome! docker pull sickcodes/docker-osxĭocker run -privileged -v /tmp/.X11-unix:/tmp/.X11-unix sickcodes/docker-osx
#Docker remove container command macbook mac#
To make it work, you need to replace the string localhost with the IP address of your docker machine, that we acquired under step 1.Run Mac in a Docker container! Run near-native OSX-KVM in Docker! X11 Forwarding!Ĭredits: OSX-KVM project among many others:
#Docker remove container command macbook windows#
This URL will not work on a Windows system. Once the docker image is downloaded, it will show you an URL that looks something like this: Now, we can open run the container with the command from above:ĭocker run -it -rm -v /c/Users/username/path/to/nipype_tutorial/:/home/neuro/nipype_tutorial -v /c/Users/username/path/to/data/:/data -v /c/Users/username/path/to/output/:/output -p 8888:8888 miykael/nipype_tutorial Pay attention that the folder paths in the docker terminal are not a backslash ( \) as we usually have in Windows. Please replace username with the name of the current user on your system. You can create the folder either in the explorer as usual or do it with the command mkdir -p in the docker console. If you haven't already created a new folder to store your container output into, do so. We need to check the IP address of your docker machine. Once the docker terminal is ready (when you see the whale), execute the following steps (see also figure): Assuming you've installed the DockerToolbox, open the Docker Quickstart Terminal. Running a docker image on Windows is a bit trickier than on Ubuntu. Note that when you run this docker image without any more specification than it will prompt you a URL link in your terminal that you will need to copy paste into your browser to get to the notebooks. Alternatively, you can also use jupyter-lab, bash or ipython.
![docker remove container command macbook docker remove container command macbook](https://static2.raru.co.za/cover/2018/10/10/6913960-l.jpg)
The second part of the -v flag (here: /home/neuro/nipype_tutorial, /data or /output) specifies under which path the mounted folders can be found inside the container. path/to/data/ is a directory where you have dataset ds000114, and /path/to/output can be an empty directory that will be used for output. Here: /path/to/nipype_tutorial is your local directory where you downloaded Nipype Tutorial repository.
![docker remove container command macbook docker remove container command macbook](https://linuxconfig.org/wp-content/uploads/2021/05/04-how-to-connect-to-docker-container-via-ssh.png)
The -it flag tells docker that it should open an interactive container instance.
![docker remove container command macbook docker remove container command macbook](https://image.slidesharecdn.com/2015826dockercontainer-150826033124-lva1-app6891/95/docker-container-37-638.jpg)
However, if you want to use your version of notebooks, safe notebook outputs locally or use you local data, you can also mount your local directories, e.g.: docker run -it -rm -v /path/to/nipype_tutorial/:/home/neuro/nipype_tutorial -v /path/to/data/:/data -v /path/to/output/:/output -p 8888:8888 miykael/nipype_tutorial jupyter notebook The suggested Docker image, miykael/nipype_tutorial, already contains all tutorial notebooks and data used in the tutorial, so the simplest way to run container is: docker run -it -rm -p 8888:8888 miykael/nipype_tutorial jupyter notebook The exact implementation is a bit different for Windows user, but the general commands look similar. After installing docker on your system and making sure that the hello-world example was running, we are good to go to start the Nipype Tutorial image.