Fully isolated IPython kernels based on uv
Project description
uvk -- Fully isolated IPython kernels based on uv
Proper documentation TBD... In the meantime:
- Install
uvkin an environment from which you run Jupyter Lab / Notebook. - Invoke
uvkfrom this environment to install the UVK kernel attached to the Python executable of your environment.- Distinct icon TBD
- Use kernel
UVK (Python 3.xx)in your notebooks
and 🎉 your Python kernel runs out of a temporary, isolated environment. Check it out by running a notebook with a code cell going
import sys
sys.prefix
and see how every time you restart the kernel, the prefix directory changes.
Feature wishlist:
- Python version validation against a constraint with a magic
- Magic for adding dependencies on the fly
- Magic for including inline script metadata
- Integration with uv project workflows
- Python version and executable management through duly-named alternate kernels
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