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License: MIT License
Personal docker images for various data science software stacks
License: MIT License
Add function to generate secret token for user specified password
Contingent on Issue #25
On MacOS: print connection string and launch Chrome browser
On AWS: print connection string only.
Support placing built images stored on an EBS volume different from the ec2 root volume. This avoid rebuilding images every time ec2 instance stood up.
Currently using r.env file to set PASSWORD environment variable for the rstudio user. When running under kubernetes, PASSWORD is not set. When using docker-compose, PASSWORD is set with correct string.
Test running on my personal AWS account
Convert instructions in this section to bootstrap actions when setting up the ec2 instance. One set of actions for gpu-enabled and another for non-gpu-enabled.
Determine if we can provide both Jupyter Notebook Server and Rstudio via Anaconda
Test to ensure permissions work as expected on MacOS and Linux:
https://github.com/jimthompson5802/datascience_containers/wiki/File-Permission-Issues-With-Containers-on-MacOS-vs-Linux
Since this is for personal use and connection to AWS is via ssh, decided to remove requirement for password.
Eliminate bulk of manual commands to install required software, such as docker, git, etc.
To speed up image loading
testing writing a new issue
Create image with Anaconda and TensorFlow
bash script to execute following commands:
docker pull dsimages/<image>
docker tag dsimages/<image> <image>
docker image rm dsimages/<image>
Parameterize dsimages
to allow user to pull from another dockerhub account
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