fix installs at the lecture level for non-gpu packages

Author: mmcky

environment.yml

@@ -16,4 +16,3 @@ dependencies:
     - ghp-import==1.1.0
     - sphinxcontrib-youtube==1.3.0 #Version 1.3.0 is required as quantecon-book-theme is only compatible with sphinx<=5
     - sphinx-togglebutton==0.3.2
-    - arviz

lectures/ar1_bayes.md

@@ -19,7 +19,15 @@ kernelspec:
 ```{code-cell} ipython3
 :tags: [skip-execution]
 
-!pip install arviz pymc numpyro jax
+!pip install numpyro jax
+```
+
+In addition to what's included in base Anaconda, we need to install the following packages
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+!pip install arviz pymc
 ```
 
 We'll begin with some Python imports.

lectures/back_prop.md

@@ -19,12 +19,15 @@ kernelspec:
 ```{code-cell} ipython3
 :tags: [skip-execution]
 
-!pip install --upgrade jax jaxlib kaleido
+!pip install --upgrade jax
 ```
 
+In addition to what's included in base Anaconda, we need to install the following packages
+
 ```{code-cell} ipython3
 :tags: [hide-output]
 
+!pip install kaleido
 !conda install -y -c plotly plotly plotly-orca retrying
 ```