Jupyterlab

Release 2022.03 contains the following packages:

• Python 3.10
• Jupyterlab
• Numpy
• Pandas
• Tensorflow
• Tensorflow Tensorboard
• Keras
• Pytorch

Download

docker pull ohheyitsdave/deep-learning-jupyterlab

Run

To run the environment on port 8888, use the following docker command:

docker run -d -p=<host-port>:<container-port> --name <container-name> ohheyitsdave/deep-learning-jupyterlab

For example:

docker run -d -p=8888:8888 --name jupyterlab ohheyitsdave/deep-learning-jupyterlab

To share a folder with the environment, use following command:

-v <host-directory>:<container-path>

For example:

docker run -d -p=8888:8888 -v ~/path/to/notebooks:/notebooks  --name jupyterlab ohheyitsdave/deep-learning-jupyterlab

Alternative navigate to the folder you want to share with jupyer and use the $(pwd) to get current path:

docker run --rm -it -p 8888:8888 -v "$(pwd):/notebooks" jupyter/notebook 

Note:

• In Windows Command Line (cmd), you can mount the current directory like so.
• In PowerShell, you use ${PWD}, which gives you the current directory.

Use

Open your browser and type in: 'localhost:8888'. If you want to know more about how to use Jupyter Notebook, here are some tutorials. to get you started.