Merge pull request #75 from ds-modules/student_resources

more formatting inputs

technology/troubleshooting_tips_students.md

@@ -1,4 +1,4 @@
-# Troubleshooting Tips to Use Datahub
+# Tips to Use Datahub
 
 ## About the UC Berkeley DataHub:  
 
@@ -8,25 +8,29 @@ The DataHub is UC Berkeley’s implementation of Jupyterhub and is a free servic
 
 
 ##### 1. Browser and Internet Check
-Browser Compatibility: Ensure you are using a compatible web browser (Chrome, Firefox, Safari) that is updated to the latest version.
-Internet Connection: Verify you have a stable internet connection to access DataHub smoothly. 
+
+**Browser Compatibility:** Ensure you are using a compatible web browser (Chrome, Firefox, Safari) that is updated to the latest version.
+
+**Internet Connection:** Verify you have a stable internet connection to access DataHub smoothly. 
 
 ##### 2. Account Setup and Access
-Activate CalNet ID: Ensure your CalNet ID is activated and functioning properly.
-Access DataHub: Go to datahub.berkeley.edu and log in with your CalNet ID to verify you can access the platform. ( and allow Bcourses to authenticate “DataHub is requesting access to your account”.) 
+**Activate CalNet ID:** Ensure your CalNet ID is activated and functioning properly.
+
+**Access DataHub:** Go to datahub.berkeley.edu and log in with your CalNet ID to verify you can access the platform. (and allow bcourses to authenticate when you get the message “DataHub is requesting access to your account”.) 
 
 ##### 3. Familiarize Yourself with DataHub
-Overview: Review student resources to understand the varied features of DataHub.
-Interface Tour: Explore the DataHub interface, including the JupyterLab and RStudio environments.
+**Overview:** Review student resources to understand the varied features of DataHub.
+
+**Interface Tour:** Explore the DataHub interface, including the JupyterLab and RStudio environments.
 
 #### During the Semester
 
 ##### 1. Accessing Course Materials
-Course Hub: Use nbgitpuller links shared by your course instructors to launch notebooks in DataHub
-Notebooks and Scripts: Open and work on Jupyter Notebooks, R scripts, or other files as provided by your instructor.
-To manage files in JupyterHub:
-To upload a file, click the "Upload" button in the JupyterHub interface and select the file from your local machine.
-To download a file, right-click on the file in the JupyterHub interface and select the "Download" option.
+**Course Hub:** Use nbgitpuller links shared by your course instructors to launch notebooks in DataHub
+
+**Notebooks and Scripts:** Open and work on Jupyter Notebooks, R scripts, or other files as provided by your instructor.
+
+**To manage files in JupyterHub:** To upload a file, click the "Upload" button in the JupyterHub interface and select the file from your local machine.To download a file, right-click on the file in the JupyterHub interface and select the "Download" option.
 
 ##### 2. Completing Assignments
 Regular Use: Regularly log in to DataHub to complete assignments, run analyses, and work on projects.
@@ -36,27 +40,30 @@ Don’t Duplicate Shared Directory Content: If your course work requires shared
 Do Your Work in Sub Directories: Create a sub directory for each assignment and do your work there. Avoid working on assignments from the root directory as they may lead to data issues if done wrongly.
 
 ##### 3. Collaboration and Sharing
-Note: Datahub doesn’t have collaboration tools at this time as we are continuously testing the latest updates.
-Instructor Feedback: Share your work with instructors or TAs for feedback by downloading and submitting your notebooks as required.
+```{note}
+Datahub doesn’t have collaboration tools at this time as we are continuously testing the latest updates.
+```
+
+**Instructor Feedback:** Share your work with instructors or TAs for feedback by downloading and submitting your notebooks as required.
 
 ##### 4. Troubleshooting
-###### Restart Kernel/Server: Try restarting your kernel as a classic troubleshooting step to see if the error goes away. If the problem persists, restart your server.
+**Restart Kernel/Server:** Try restarting your kernel as a classic troubleshooting step to see if the error goes away. If the problem persists, restart your server.
 
-###### Kill Process: Having too many things open on Datahub can cause issues. To check running processes and kill them follow instructions in Curriculum Guide
+**Kill Process:** Having too many things open on Datahub can cause issues. Sharing two different approaches to check running processes and kill them,
 
-** UI Based Approach: **
+**Option 1: UI Based Approach:**
 - In Notebook - click Jupyter Icon in UR to get to ”tree” 
 - In “tree” click running processes tab
 - Right click on any process to kill it ( or Kill all). In Lab you can see running processes in tab on left with this icon
 
-** CLI approach: **
+**Option 2: CLI approach:**
 - Open the terminal in Datahub.
 - Use the command ps aux to list all running processes.
 - Find the process ID (PID) of the processes you want to stop.
 - Use the command kill <PID> to terminate those processes.
 - Repeat these steps as necessary to manage your system resources.
 
-Support: Reach out to course TAs for technical help, and they will contact infrastructure staff if they are unable to resolve your issue.
+**Support:** Reach out to course TAs for technical help, and they will contact infrastructure staff if they are unable to resolve your issue.
 
 What if I can’t access DataHub?
 Ensure your CalNet ID is active and try logging in again. If the problem persists, inform your TA or check out this guide for additional help.
@@ -71,9 +78,12 @@ First, try restarting your kernel. If the issue persists, contact your course TA
 
 #### End of the Semester
 ##### 1. Backup Your Work
-Backup coursework: Back up your notebooks and data to either your personal device or an external storage service like Google Drive, Dropbox.
-User Home Directory Archiving: Files unused for 90 days will be archived and stored in a low cost storage. You will need to open a request with the DataHub team to retrieve your unused files.
+
+**Backup coursework:** Back up your notebooks and data to either your personal device or an external storage service like Google Drive, Dropbox.
+
+**User Home Directory Archiving:** Files unused for 90 days will be archived and stored in a low cost storage. You will need to open a request with the DataHub team to retrieve your unused files.
+
 ##### 2. Clean Up Your Workspace
-Clean Up: Clean up your DataHub workspace by deleting unnecessary files and folders.
-Feedback: Provide feedback on your experience with the DataHub team to help improve the service for future students.
-Additional Resources
+**Clean Up:** Clean up your DataHub workspace by deleting unnecessary files and folders.
+
+**Feedback:** Provide feedback on your experience with the DataHub team to help improve the service for future students.