Today, I was putting together and testing my Data Science Toolbox in Docker  which consists of the following components:

  • GUI/Environment
    – jupyter
    – python3
  • Core Libraries
    – NumPy
    – SciPy
    – Pandas
  • Visualization
    – Matplotlib
    – Seaborn
  • Machine Learning
    – SciKit-Learn
    – Keras
    – TensorFlow

It is based on the lean Alpine Linux!

Here is the version information of the installed components:

In [12]:
import sys
3.6.2 (default, Aug 29 2017, 13:56:02) 
[GCC 6.4.0]
In [11]:
print("Installed Modules:");
import pip
sorted(["%s==%s" % (i.key, i.version) for i in pip.get_installed_distributions()])
Installed Modules:
Categories: Data Science

1 Comment

Nella Szabat · 23. March 2018 at 9:19

Excellent publish from specialist also it will probably be a fantastic know how to me and thanks very much for posting this useful data with us all.

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