Our clients are willing to upgrade the existing juyterlab to the most recent version 1.1.4.
I am here to know the steps and things to be considered while upgrading jupyterlab from version 0.31.5 to 1.1.4.
conda i version :
aq10lah01:/home/ep_basha # conda --version
aq10lah01:/home/ep_basha # jupyter --version
Jupyter notebook version
aq10lah01:/home/ep_basha # jupyter notebook --version
aq10lah01:/home/ep_basha # python --version
Python 3.6.4 :: Anaconda, Inc.
aq10lah01:/home/ep_basha # anaconda --version
anaconda Command line client (version 1.6.9)
Jupyter lab version
SUSE linux vm with version 12.3
We need to upgrade the jupyter lab to version 1.1.4 which is the latest one.
Does jupyterlab supports python 3.6 ?
what are the things to be backed up for the upgrade?
steps to upgrade?
Does upgrading jupyterlab upgrades all the jars related to python as well?
Does the old version of python jars supports new jupyterlab?
Don’t need backend.
You can use conda create -n new_env python=3.6 and conda activate nev_env to use a new environment. And just install jupyterlab.
Then, you should check that any code in your ipynb is right.
Here are some direct answers to your questions. However, asking about “jars” for python indicates you aren’t very familiar with conda/anaconda and how packaging in python works, so you might want to consult someone more familiar with your setup and how python is installed as you proceed.
You’re upgrading through quite a few versions. I think things should be fine, but user settings may not be transferred through the upgrade (i.e., anything in advanced settings, like custom keyboard shortcuts, etc.). Also, you’ll need to reinstall any custom extensions with versions that support jlab 1
I think just conda install jupyterlab=1.1.4 might work. Again, it looks like you have a fairly specialized setup, so you’ll want to consult someone more familiar with how you are using conda and your overall environment.
Upgrading just JupyterLab should not upgrade your python package if you have python 3.6, at least if you are using our official conda-forge package. If you are getting the anaconda jlab 1.1.4 package, you might check with Anaconda (they control the Anaconda package, not us, so they would know).
The information provided has given a very clear detailed picture about the upgrade plan. Thank you very much for the quick response.
Yes, I am new to this jupyter upgrade work some of my question were quite illogical I guess sorry for wrong questions if any.
I will consult the respective person and come back to you by tomorrow and update.