datascience_containers

Personal docker images for various data science software stacks

MIT License

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Ecosystems: Docker, Jupyter Notebook, Kubernetes, Python, Apache Spark

Data Science Software Stack Docker Prototype

Docker images providing the following data science software stacks for peronsal use:

  • Anaconda Python with Jupyter Notebook
  • Rstudio Server
  • Apache Spark (Stand-alone)
  • Tensorflow (cpu and gpu versions)
  • h2o
  • xgboost
  • lightgbm

See wiki for additional information.

Built docker images can be found at dockerhub.com

This work inspired by these talks:

System Requirements:

  • MacOS
  • Docker for Mac 18.06.1 ce (requires kubernetes enabled)
  • Chrome Browser

Directories:

  • bin scripts to start and stop containers
  • h2oai h2o Flow server
  • jpynb Anaconda Python with additional packages: h2o, xgboost, lightgbm
  • pyspnb Ancaonda Python with stand-alone Spark
  • rstudio Rstudio Server (Community Edition)
  • tfcpu Tensorflow with Python 3 and Jupyter Notebook (cpu)
  • tfgpu Tensorflow with Python 3 and Jupyter Notebook (gpu)
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