![]() ![]() Hopefully you can also learn a bit about conda too.Ĭondacreate_dev.sh: this first one is used to create a base environment that will hold jupyterlab, and the package nb_conda_kernels which enables a Jupyter Notebook or JupyterLab application in one conda environment to access kernels for Python, R, and other languages found in other environments. Now I use the 2 scripts I linked above, and I will go through explaining what they do. Yes a new fresh Jupyterlab+plugins for every environment.Ī few days ago I read this tweet by Vicki Boykis and one of the answers from Peter Baumgartner and decided to change my workflow a little bit. Here is an example of creating a conda virtual environment: userlogin0b conda create -n myenv python3.8 Collecting package metadata (currentrepodata. I used to have a default script to create a conda environment, in that script I would install all the packages I consider basic, plus Jupyterlab and some plugins. ![]() Managing environments in Python can be tricky. TL DR Use this script to create a base conda environment with Jupyterlab and some plugins, and this to create new environments and make them available when launching Jupyter. Manage conda environments and Jupyterlab easily. ![]()
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