Updated conda pack references

Author: jdesanto

docs/source/user_guide/jobs/data_science_job.rst

@@ -96,7 +96,7 @@ All of these runtime options allow you to configure a `Data Science Conda Enviro
     runtime = (
         ScriptRuntime()
         .with_source("oci://bucket_name@namespace/path/to/script.py")
-        .with_service_conda("tensorflow26_p37_cpu_v2")
+        .with_service_conda("tensorflow28_p38_cpu_v1")
     )
 
 You can store your source code in a local file path or location supported by `fsspec <https://filesystem-spec.readthedocs.io/en/latest/>`__, including OCI Object Storage.
@@ -120,7 +120,7 @@ You can also configure the environment variables, command line arguments, and fr
     runtime = (
         ScriptRuntime()
         .with_source("oci://bucket_name@namespace/path/to/script.py")
-        .with_service_conda("tensorflow26_p37_cpu_v2")
+        .with_service_conda("tensorflow28_p38_cpu_v1")
         .with_environment_variable(ENV="value")
         .with_argument("argument", key="value")
         .with_freeform_tag(tag_name="tag_value")
@@ -246,7 +246,7 @@ Here is an example of a YAML file representing the job defined in the preceding
         type: script
         spec:
           conda:
-            slug: tensorflow26_p37_cpu_v2
+            slug: tensorflow28_p38_cpu_v1
             type: service
           scriptPathURI: oci://bucket_name@namespace/path/to/script.py
 

docs/source/user_guide/jobs/run_notebook.rst

@@ -36,7 +36,7 @@ Python
                 path="https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/customization/basics.ipynb",
                 encoding='utf-8'
             )
-            .with_service_conda(tensorflow26_p37_cpu_v2")
+            .with_service_conda("tensorflow28_p38_cpu_v1")
             .with_environment_variable(GREETINGS="Welcome to OCI Data Science")
             .with_output("oci://bucket_name@namespace/path/to/dir")
         )
@@ -86,7 +86,7 @@ You could use the following YAML to create the job:
 	    spec:
           notebookPathURI: /path/to/notebook
 	      conda:
-            slug: tensorflow26_p37_cpu_v1
+            slug: tensorflow28_p38_cpu_v1
             type: service
 
 **NotebookRuntime Schema**