I'm looking to use the ospc taxcalc
package in a Google Datalab notebook. This package must be installed via conda.
Datalab doesn't have conda by default, so this method (from https://stackoverflow.com/a/33176085/1840471) fails:
%%bash
conda install -c ospc taxcalc
Installing via pip
also doesn't work:
%%bash
pip install conda
conda install -c ospc taxcalc
ERROR: The install method you used for conda--probably either
pip install conda
oreasy_install conda
--is not compatible with using conda as an application. If your intention is to install conda as a standalone application, currently supported install methods include the Anaconda installer and the miniconda installer. You can download the miniconda installer from https://conda.io/miniconda.html.
Following that URL, I tried this:
%%bash
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
bash Miniconda2-latest-Linux-x86_64.sh
wget
works, but the bash
command to install just kept in "Running..." state for seeming perpetuity.
This seems to be due to the conda
installer prompting for several Enter
keystrokes to review the license, and then for a yes
indicating acceptance of the license terms. So conda's silent mode installation looked promising:
%%bash
bash Miniconda2-latest-Linux-x86_64.sh -u -b -p $HOME/miniconda
This produced the following warning:
WARNING: You currently have a PYTHONPATH environment variable set. This may cause unexpected behavior when running the Python interpreter in Miniconda2. For best results, please verify that your PYTHONPATH only points to directories of packages that are compatible with the Python interpreter in Miniconda2: /content/miniconda
And doesn't make available the conda
command:
%%bash
conda install -c ospc taxcalc
bash: line 1: conda: command not found
There is a pending github issue tracking this work - https://github.com/googledatalab/datalab/issues/1376
I believe we will need to install conda and use that for python, pip and all other python packages, and in the interim it may not be possible to mix the two python environments. However someone with more experience with conda might know otherwise.
As of the 2018-02-21 release, Datalab supports Conda and kernels are each in their own Conda environment.