Koan-style unit tests to practice the core topics from Wes McKinney’s Python for Data Analysis (3rd ed.).

Book (open edition): Python for Data Analysis, 3E

This repo is a practice workbook for the book:

• You learn by fixing tests: pytest starts red; you implement small functions in koans/ until it turns green.

• Chapter-aligned: each tests/test_XX_*.py file maps to a book theme; see docs/overview.md.

• Docs: see docs/

• Koans (tests you complete by editing code): see tests/

Create a virtualenv and install dependencies:

python3 -m venv .venv
. .venv/bin/activate
python -m ensurepip --upgrade
python -m pip install -U pip
pip install -e ".[dev]"

Run the koans:

pytest -q

Some later-chapter koans are optional and will be skipped unless you install extras:

pip install -e ".[io]"       # parquet (pyarrow)
pip install -e ".[viz]"      # plotting (matplotlib)
pip install -e ".[modeling]" # modeling (scikit-learn)

KOAN=01 pytest -q   # python basics
KOAN=07 pytest -q   # time series

• Tests start out failing with clear messages.
• You fix them by editing functions in koans/.
• Re-run pytest and iterate.