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.
Completing Assignments¶
Regular Use: Regularly log in to DataHub to complete assignments, run analyses, and work on projects.
Save Work: Save your progress frequently. It’s good practice to manually save your work as well.
Check Storage Space: Delete unnecessary files and constantly check the storage size of the home directory. You can do this by opening a Terminal, and executing du -sh
Don’t Duplicate Shared Directory Content: If your course work requires shared directories where instructors are storing large datasets, don’t create a copy of the files in your home directory. Always, read data from the shared directory.
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.
Collaboration and Sharing¶
Instructor Feedback: Share your work with instructors or TAs for feedback by downloading and submitting your notebooks as required.