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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 files for dsba-python1-alpha 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dsba-python1-alpha 0.1.2
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dsba_python1_alpha-0.1.2.tar.gz 22.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for dsba-python1-alpha 0.1.2
File Interpreter ABI Platform
dsba_python1_alpha-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 48.5 kB

Release files / dsba_python1_alpha-0.1.2.tar.gz

Download URL dsba_python1_alpha-0.1.2.tar.gz
Size 22.7 kB
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Release files / dsba_python1_alpha-0.1.2-py3-none-any.whl

Download URL dsba_python1_alpha-0.1.2-py3-none-any.whl
Size 25.7 kB
Tags Python 3
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Uploaded via twine/6.2.0 CPython/3.13.2

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0.1.2 This release

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0.1.1

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0.1.0

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