I tried to install python 3 on my UBUNTU 20.4 via Miniconda and directly with the following steps:
REM Install Python 3.6 sudo apt-get install libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev cd /usr/src sudo wget https://www.python.org/ftp/python/3.6.10/Python-3.6.10.tgz sudo tar xzf Python-3.6.10.tgz cd Python-3.6.10 sudo ./configure --enable-optimizations sudo make altinstall python3.6 -V pip3.6 -V
However, my Jupyter Notebook in DSS only has Python 2. How do I add a Python 3 env to the DSS Jupyter Notebook?
I'm always installing Dataiku choosing Python3 to be default.
Here are the commands to achieve this, directly while installation:
Afterwards there is documented how to rebuild the default environment.
Thank You for the link. That will definitely help if I need to recreate a new VM with Ubuntu-ready to go.
Also, I am glad to have discovered the Administration area to build new Environments for R and Python, after the installation process. This area would have been awesome to know ahead of time, but, it was not late in rescuing me or should I say increased my knowledge of the whole process (installing with Python or installing and then create the required environments with Administration). Personally, while looking at the process, I think the DSS Manged Environments are much better because one can upgrade, install, and maintain a nice set of environments (replacing the need to install and manage them with conda).