Auto-checkers for the DSBA Python for Data Science course
Project description
dsba-python1-alpha
Auto-checkers for the DSBA Python for Data Science course.
Inspired by Kaggle's learntools — same .check() / .hint() / .solution() API,
all datasets bundled inside the package (no internet required).
Install
pip install dsba-python1-alpha
Workshop 14 — scipy.stats
from dsba_checkers.workshops.w14_scipy import q1, q2, q3, q4, q5, q6, q7
# After writing your code:
q1.check(mean_charges, median_charges, skewness_charges, n_outliers)
# ✓ Correct!
# Stuck? Ask for a hint:
q1.hint()
# Give up? Show the solution (also shown automatically after 3 failed attempts):
q1.solution()
Available workshops
| Module | Topic |
|---|---|
dsba_checkers.workshops.w14_scipy |
scipy.stats: descriptive stats, correlation, t-tests, Bonferroni |
More workshops coming in future versions.
Release history Release notifications | RSS feed
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