Public | Automated Build

Last pushed: 2 years ago
Short Description
Python 3, some scientific computing libraries, and some friends
Full Description

Base-container for analytics code

This Dockerfile installs various slow-to-install dependencies,
like NumPy and SciPy.

It's used as a base-image for other Python images. By separating this
slow, infrequently-changing part of the build, automated Docker builds
are considerably faster.

GUnicorn, Flask, and PsycoPG are included because the final images present
the analytical code as a REST service.


  • Python 3
  • NumPy 1.8
  • SciPy 0.13
  • Flask 0.10
  • GUnicorn 19
  • python-dateutil 2.2
  • pgpasslib
  • psycopg2
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