Python 3, some scientific computing libraries, and some friends
10K+
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.
Content type
Image
Digest
sha256:14351c5d5…
Size
340.7 MB
Last updated
almost 11 years ago
docker pull whoop/python-analytics-base