Difference between revisions of "Jupyterlab"
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(Created page with "Jupyterlab is a popular interactive Python notebook manager. This service runs on a Stoomboot node with 64 cores and 512 GB memory. To use the service go to https://callysto....") |
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pip install --user matplotlib | pip install --user matplotlib | ||
− | + | ==== Setting up new environments ==== | |
− | + | ===== Using conda ===== | |
− | + | conda create --name python38 python=3.8 | |
− | + | conda activate python38 | |
− | + | conda install ipykernel | |
+ | python -m ipykernel install --user --name python38 --display-name 'Python 3.8' | ||
+ | |||
+ | This installs in $HOME/.local/share/jupyter/kernels/python38. | ||
+ | |||
+ | ===== Using python venv ===== | ||
+ | python -m venv testing123 | ||
+ | source testing123/bin/activate | ||
+ | pip install ipykernel | ||
+ | python -m ipykernel install --user --name testing123 --display-name 'Testing 1,2,3' | ||
+ | |||
+ | This installs in $HOME/.local/share/jupyter/kernels/testing123. |
Revision as of 17:11, 28 October 2021
Jupyterlab is a popular interactive Python notebook manager. This service runs on a Stoomboot node with 64 cores and 512 GB memory.
To use the service go to https://callysto.nikhef.nl/ and log on via Nikhef SSO. The notebook will run under your Nikhef account with full access to your home directory, project and data shares, and dCache.
To customize your Python environment, go to File→New→Terminal and use e.g.
pip install --user matplotlib
Setting up new environments
Using conda
conda create --name python38 python=3.8 conda activate python38 conda install ipykernel python -m ipykernel install --user --name python38 --display-name 'Python 3.8'
This installs in $HOME/.local/share/jupyter/kernels/python38.
Using python venv
python -m venv testing123 source testing123/bin/activate pip install ipykernel python -m ipykernel install --user --name testing123 --display-name 'Testing 1,2,3'
This installs in $HOME/.local/share/jupyter/kernels/testing123.