Github user shaneknapp commented on the issue:
https://github.com/apache/spark/pull/18459
alright, this is what a `conda install numpy` would update on the workers:
```
package | build
---------------------------|-----------------
blz-removed | 0 291 B
dynd-python-removed | 0 297 B
libgfortran-3.0.0 | 1 281 KB
libiconv-1.14 | 0 2.0 MB
mkl-2017.0.3 | 0 129.5 MB
hdf5-1.8.17 | 2 2.0 MB
libpng-1.6.27 | 0 219 KB
anaconda-custom | py34_0 3 KB
freetype-2.5.5 | 2 2.5 MB
llvmlite-0.15.0 | py34_0 7.6 MB
numpy-1.11.3 | py34_0 6.7 MB
abstract-rendering-0.5.1 | np111py34_0 72 KB
astropy-1.3 | np111py34_0 9.2 MB
bcolz-1.0.0 | py34_0 990 KB
cycler-0.10.0 | py34_0 11 KB
fontconfig-2.12.1 | 3 429 KB
h5py-2.6.0 | np111py34_2 2.7 MB
nltk-3.2.2 | py34_0 1.9 MB
numba-0.30.1 | np111py34_0 2.2 MB
numexpr-2.6.1 | np111py34_2 354 KB
patsy-0.4.1 | py34_0 372 KB
scipy-0.18.1 | np111py34_1 31.3 MB
datashape-0.5.4 | py34_0 99 KB
pandas-0.19.2 | np111py34_1 17.1 MB
pytables-3.3.0 | np111py34_0 5.8 MB
scikit-learn-0.18.1 | np111py34_1 11.3 MB
bokeh-0.10.0 | py34_0 3.9 MB
odo-0.4.2 | py34_0 177 KB
statsmodels-0.6.1 | np111py34_1 5.2 MB
blaze-core-0.9.0 | py34_0 541 KB
matplotlib-1.5.1 | np111py34_0 8.5 MB
scikit-image-0.12.3 | np111py34_1 26.7 MB
------------------------------------------------------------
Total: 279.5 MB
```
important upgrades happening in there:
* numpy to 1.11.3
* pandas to 0.19.2
@JoshRosen : i can update amp-jenkins-worker-01 if you'd like to test
outside of the regular PRB workers.
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