#VIRTUAL CD MANAGER 1.0.0.3 UPDATE#

(base ) # conda update -n base -c defaults conda

If, like me, you received a warning about an obsolete release of conda, upgrade it with:

# To deactivate an active environment, use <=Д®nvironment location: /opt/anaconda3/envs/jupyterhub WARNING: A newer version of conda exists. = > WARNING: A newer version of conda exists. (base ) # conda create -name jupyterhubД¬ollecting package metadata (current_repodata.json ): done If like me you are behind a corporate proxy the first thing to do is to configure it to be able to download conda packages over Internet: The installation is pretty straightforward, just execute the Anaconda3-2019.10-Linux-x86_64.sh shell script (in my case) and acknowledge the licence information displayed. In this article I assume that you already have a working Anaconda installation on your server. To do this either you create them on your own by creating a kernel.json file or installing one of the packages that help you to integrate the language you wish. In short the idea is to add additional Jupyter kernels on top of the default Python 3 one.

Sparkmagic Jupyter kernels configurationД®ven if the standard tool for your data scientist in an Hortonworks Data Platform (HDP) is Zeppelin Notebook this population would most probably want to use Jupyter Lab/Notebook that has quite a momentum in this domain.ДЄs you might guess with the new Hive Warehouse Connector (HWC) to access Hive tables in Spark comes a bunch of problem to correctly configure Jupyter Lab/NotebookвЂ¦.

Virtual cd manager 1.0.0.3