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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dsba_python1_alpha-0.1.2.tar.gz
(22.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dsba_python1_alpha-0.1.2.tar.gz.
File metadata
- Download URL: dsba_python1_alpha-0.1.2.tar.gz
- Upload date:
- Size: 22.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6e44b841d87ff5898eaac9832865019ad9b6d71de8bdcf4df19a3a4162a53a39
|
|
| MD5 |
74b0ce2e922dfbf3adade52d6ccb34b3
|
|
| BLAKE2b-256 |
08f5b5751eda6f6494249ce1493c50bc9c8b2a8d7991bb02a0101d89654bd78d
|
File details
Details for the file dsba_python1_alpha-0.1.2-py3-none-any.whl.
File metadata
- Download URL: dsba_python1_alpha-0.1.2-py3-none-any.whl
- Upload date:
- Size: 25.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a8fe094b1051c208aa7056aba6b65030f4ddde20981ca29478786097da0563b4
|
|
| MD5 |
ac177a7e0845431b9bac3af60e91b927
|
|
| BLAKE2b-256 |
199ef36c7fc00f6654f76edbe23d8cda9ba28ac13c25fa1db0d7891e324cd23d
|
