https://github.com/wikp/jupyterlab-google-cloud

DataScience environment on Jupyter Lab with Google Cloud SDK
https://github.com/wikp/jupyterlab-google-cloud

data-science datascience-environment google-cloud-sdk jupyterlab pandas python tensorflow

Last synced: 2 months ago
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DataScience environment on Jupyter Lab with Google Cloud SDK

• Host: GitHub
• URL: https://github.com/wikp/jupyterlab-google-cloud
• Owner: wikp
• Created: 2018-01-28T10:37:35.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-01-28T10:44:08.000Z (over 8 years ago)
• Last Synced: 2025-10-22T22:36:00.075Z (8 months ago)
• Topics: data-science, datascience-environment, google-cloud-sdk, jupyterlab, pandas, python, tensorflow
• Size: 1000 Bytes
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# DataScience environment on Jupyter Lab with Google Cloud SDK

For people who think that Google Datalab is too simple to be powerful 

and for those who prefer Jupyter Lab over plain old Jupyter Notebook.

## Contents

- MiniConda 4.3.27 with Python 3.6.2

- Google Cloud SDK and google-cloud python package

- Jupyter Lab

- Tensorflow, Pandas, seaborn, Bokeh, numpy, scipy and other libs used in Data Science.

# How to run?

Run these commands in the notebook directory.

If you are using `bash` or `zsh`:

    docker pull jaszczur/jupyterlab-google-cloud:latest

    docker run -it -p 8888:8888 -v $(pwd):/root/notebooks jaszczur/jupyterlab-google-cloud:latest

if `fish`:

    docker pull jaszczur/jupyterlab-google-cloud:latest

    docker run -it -p 8888:8888 -v (pwd):/root/notebooks jaszczur/jupyterlab-google-cloud:latest