Setting Up Python 3.9 and Miniconda Code Env

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romain12
romain12 Registered Posts: 2

Hi All,

I am having some trouble setting Dataiku code environments.

In fact, I have install Python3.9 and also miniconda on the DSS server and the banary are also available in the PATH but when I' trying to create an environment in DSS I get an error (see screenshot).

Does anyone know how to resolve this error ?

Thank you in advance for your help !

Answers

  • Turribeach
    Turribeach Dataiku DSS Core Designer, Neuron, Dataiku DSS Adv Designer, Registered, Neuron 2023 Posts: 1,717 Neuron
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    Sounds like your DSS server can't connect to the Conda repository. Does it have full internet connectivity? Why do you want to use Conda instead of pip? Are you of the differences between pip and Conda and the license implications? Thanks

  • romain12
    romain12 Registered Posts: 2
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    Yes in fact the server where is install DSS doesn't have acces to internet. So how to fix the issue please ?

    And I use conda because I need to creat an environment with many librairies which some of them only compatible with conda...

  • Turribeach
    Turribeach Dataiku DSS Core Designer, Neuron, Dataiku DSS Adv Designer, Registered, Neuron 2023 Posts: 1,717 Neuron
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    Yes in fact the server where is install DSS doesn't have acces to internet. So how to fix the issue please ?

    >> Well simple get internet connectivity to your server, direct or via a proxy. Or get a pip/conda mirror hosted internally in your company. Or pay for hosted repository mirror and open up your company firewalls to it:

    https://help.sonatype.com/repomanager3/nexus-repository-administration/formats/conda-repositories

    https://help.sonatype.com/repomanager3/nexus-repository-administration/formats/pypi-repositories

    And I use conda because I need to creat an environment with many librairies which some of them only compatible with conda...

    >> Conda installs OS packages. OS packages installations can easily break Dataiku or cause unintended consecuencies. I will strongly advise you to use pip not Conda. Any OS level packages needed by those Python packages can gbe reviewed adhoc. Note that Dataiku already installs most of the required ones for scikit-learn.

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