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With the release of Python 3.6, we should definitely add it to the list of supported versions.
But while we're at it, we should look at our existing versions. I just noticed today that numpy 1.12.0 no longer supports Python3 less than 3.4. This hasn't been an issue in TravisCI because their environments actually use a cached numpy. So during CI, pip skips over installing numpy because its already there! However today I did a tox -r to rebuild my tox environments, which is how I found that there is actually a problem with 3.3.
The text was updated successfully, but these errors were encountered:
With the release of Python 3.6, we should definitely add it to the list of supported versions.
But while we're at it, we should look at our existing versions. I just noticed today that
numpy
1.12.0 no longer supports Python3 less than3.4
. This hasn't been an issue in TravisCI because their environments actually use a cached numpy. So during CI,pip
skips over installingnumpy
because its already there! However today I did atox -r
to rebuild my tox environments, which is how I found that there is actually a problem with3.3
.The text was updated successfully, but these errors were encountered: