ECON 10P
Economics Toolkit: Introduction to Python for Economists
Course statistics
- Predicted GPA
- 3.26
- n = 0 · 3 terms · ± 0.152
- A range
- —
- of letter grades
- Taken P/NP
- 100%
- 98% of those passed
- D / F / W
- —
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Grade distribution
- P 246 · 98.0%
- NP 5 · 2.0%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| ROJAS, RANDALL R | 3.26 | 0 small sample | 3 | — | |
| MCDEVITT, EDWARD P | 3.26 | 0 small sample | 1 | — |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 221 n=0
- 231 n=0
- 241 n=0