Bootstrap a *conda development environment for jupyter lab development using multiple environments and kernels under windows 11.
This will allow the use of multiple kernels from a single Jupyter Lab session. Each notebook or project can run within a specific python virtual environment by using the kernel drop-down menu within the notebook. This helps avoid dependency conflicts between various libraries and allows multiple different python, ane even R versions symultaniously.
This is particularly useful if you:
- Need to run an older verison of Python for legacy projects
- Need to use conflicting versions of librarys such as
PIL
andpillow