Added more notebook

technology/instructor-activity.md

@@ -1,25 +1,35 @@
 # Step by step instruction to launch a Jupyter Notebook in Datahub
 
-## Option A
+## Option 1
 
-- Click this [link]() to launch a sample Jupyter notebook. This will clone a notebook to your Berkeley Jupyterhub home directory
-- Execute the "iris.ipynb" notebook located inside "datahub_workshop_feb24" folder
+- Click this [link](https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fds-modules%2FDatahub-Workshop&branch=main&urlpath=tree%2FDatahub-Workshop%2Firis.ipynb) to launch a sample Jupyter notebook. This will clone a notebook to your Berkeley Jupyterhub's home directory
+- Execute the "iris.ipynb" notebook located inside "datahub_workshop_feb24" directory
 - Download the notebook by selecting "File -> Download" option
 - Login to your Github account or Create a new Github account
 - Create a new Github repository
-- Upload your notebooks to Github repository
-- Install the nbgitpuller browser extension using this [link](https://ds-modules.github.io/curriculum-guide/workflow/distributing-notebooks.html?highlight=nbgitpuller#nbgitpuller-plugin). Follow the [following documentation]() to make the extension visible in your browser
+- Upload the notebook to Github repository
+- Install the nbgitpuller browser extension using this [link](https://ds-modules.github.io/curriculum-guide/workflow/distributing-notebooks.html?highlight=nbgitpuller#nbgitpuller-plugin). Follow the [following documentation](https://ds-modules.github.io/curriculum-guide/workflow/distributing-notebooks.html?highlight=nbgitpuller#nbgitpuller-plugin) to make the extension visible in your browser
 - Generate a new nbgitpuller link by entering the following details, 
 "JupyterHub URL": "https://datahub.berkeley.edu/", 
 "Open In": "Classic Notebook"
 - Share the nbgitpuller link with another collaborator who is attending the workshop
 
 
-## Option B
+## Option 2
 
+- Click this [link](https://drive.google.com/drive/u/1/folders/12qOYTF3JELjBuofxsC4ktLBZFt2GD1TG) to download a PDF containing python code
+- Login to https://datahub.berkeley.edu/ account
+- Launch a new notebook by selecting "Python 3 (ipykernel)" option from launcher
+- Copy paste the code from the PDF to the new notebook
+- Save the notebook
+- Download the notebook by selecting "File -> Download" option
+- Login to your Github account or Create a new Github account
+- Create a new Github repository
+- Upload the notebook to Github repository
+- Install the nbgitpuller browser extension using this [link](https://ds-modules.github.io/curriculum-guide/workflow/distributing-notebooks.html?highlight=nbgitpuller#nbgitpuller-plugin). Follow the [following documentation](https://ds-modules.github.io/curriculum-guide/workflow/distributing-notebooks.html?highlight=nbgitpuller#nbgitpuller-plugin) to make the extension visible in your browser
+- Generate a new nbgitpuller link by entering the following details, 
+"JupyterHub URL": "https://datahub.berkeley.edu/", 
+"Open In": "Classic Notebook"
+- Share the nbgitpuller link with another collaborator who is attending the workshop
 
 
-## Documentation
-
-There is detailed [documentation](http://data8.org/datascience) available on Tables, Maps, and other components of the `datascience` package.
-