@@ -58,7 +58,15 @@ Activate the appropriate environment for your machine (GPU if available, MPS or
1. Install the dependencies using `pip install -r requirements.txt`.
1. Launch your Jupyter notebook server using `jupyter lab`.
## 3. Add a package (if needed)
## 3. Updated environment.yaml
When new dependencies are added to the various `environment[-gpu|-mps].yaml` files by the repository owners, the most efficient way to install these without rebuilding the container is to run: `micromamba install -n base -f environment[-gpu|-mps].yaml`.
This will install the added dependencies **on top** rather than rebuild everything.
A complete rebuild will only happen if you rebuild the Dev Container.
## 4. Add a package (if needed)
There are two approaches:
-**Temporary**: the below commands only install the package locally; it persists during a restart, but not during a rebuild.