Work solo or in teams of 2 - your choice!
Tip: Use Ed and office hours for help!
Keys to success: Clear expectations, regular check-ins, shared tools
Share BigQuery access: GCP Console → IAM & Admin → Add partner email → "BigQuery User" role
Most share Colab notebook: Use "Share" button, take turns editing. Colab is not good for simultaneous edits, unlike Google Docs.
Alternative (if you feel comfortable with Git): Jupyter + Git locally, then import finally in Colab
Most share Colab notebook: Use "Share" button, take turns editing (avoid simultaneous edits). Colab is not good for simultaneous edits, unlike Google Docs.
Alternative (if you feel comfortable with Git): Jupyter + Git locally, then benchmark in Colab
Final runs must use Colab's 12GB constraints
One partner uploads: Upload .ipynb → Click "Add Group Member" → Search partner's name/email
Important: Both names must appear on submission and at top of notebook
Formula: Available late days = min(partner1_days, partner2_days)
Example: Partner A has 2 days, Partner B has 1 days → Team can use 1 day
Why? Can't handle submissions with one submitting project on one day, and the other submitting updates after another day. We're releasing Project2 with 35 days to plan and build. Plan accordingly!
Prevention: Set expectations early, divide tasks clearly, communicate regularly
If problems arise: Try to resolve it. But if you can't, post private Ed message immediately! A CA will try to help. But often, we've seen it's best if you can resolve it with your partner, or switch to working solo, from that point on.
Solo: Copy Project 1 cells to new notebook, extend with new requirements
Partnership: Pick one partner's Project 1 with the most interesting dataset for ML/joining
Starting fresh: Also fine - just meet the Project2 requirements on table sizes