docs/JUPYTERLAB.adoc

@@ -49,9 +49,10 @@ Starting Jupyter will automatically open it in your browser.
 .JupyterLab Web Application
 image::images/jupyterlab-welcome.png[width="90%"]
 
+
 If you want to reopen it at any later point, you can point your browser to `\http://localhost:8888/lab` and it will reload the last state of the workbench before you closed it.
 
-There are a couple of additional options you can use, the two most convenient are listed below.
+There are a couple of additional startup options you can use, the two most convenient are listed below.
 
 * `--no-browser`, do not open a browser tab/window
 * `--notebook-dir=_path_`, where to load notebooks and kernels from
@@ -92,6 +93,27 @@ Installed kernelspec sklearn-16 in /foo/bar/baz/Jupyter/kernels/sklearn-16
 
 Do the same for the other environments.
 
+[subs="+quotes"]
+----
+(sklearn-16) $ *mamba activate pytorch-26*
+(pytorch-26) $ *pip install ipykernel*
+...
+(pytorch-26) $ *python -mipykernel install --user --name=pytorch-26*
+...
+
+(pytorch-26) $ *mamba activate tf-216*
+(tf-216) $ *pip install ipykernel*
+...
+(tf-216) $ *python -mipykernel install --user --name=tf-216*
+...
+----
+
 As you register additional kernels, you will see them show up in the JupyterLab web application.
 
+.JupyterLab With Installed Kernels
+image::images/jupyterlab-kernels.png[width="90%"]
+
 Once you open a notebook, you can select the kernel you need to run it with in the top-right corner menu.
+
+.Kernel Selection for a SciKit-Learn 1.6 Notebook
+image:images/jupyterlab-notebook.png[width="100%"]

envs/env-pytorch-26.yml

@@ -7,4 +7,6 @@ dependencies:
   - numpy>=1.19.5
   - pandas>=1.1.5
   - matplotlib>=3.3.4
+  - seaborn>=0.9.0
+  - ipykernel>=6.29
   - pytorch>=2.6,<2.7

envs/env-sklearn-16.yml

@@ -5,9 +5,10 @@ channels:
 dependencies:
   - python>=3.13,<3.14
   - numpy>=1.19.5
-  - scipy>=1.6.0
-  - scikit-learn>=1.6.1,<1.7.0
-  - cython>=3.0.10
   - pandas>=1.1.5
   - matplotlib>=3.3.4
   - seaborn>=0.9.0
+  - ipykernel>=6.29
+  - scipy>=1.6.0
+  - scikit-learn>=1.6.1,<1.7.0
+  - cython>=3.0.10

envs/env-tf-216.yml

@@ -1,5 +1,5 @@
 ---
-name: tensorflow-2.16
+name: tf-216
 channels:
   - apple
   - conda-forge
@@ -8,6 +8,8 @@ dependencies:
   - numpy>=1.19.5
   - pandas>=1.1.5
   - matplotlib>=3.3.4
+  - seaborn>=0.9.0
+  - ipykernel>=6.29
   - tensorflow-deps
   - pip>=25.0
   - pip: