Pandas: .head() to .tail()
summary
Hands-on pandas tutorial that actually shows what is done: cloning the GitHub repo, running Jupyter notebooks, using pandas data structures and NumPy vectorization, reading FRED via pandas_datareader, resampling and rolling windows for GDP/CPI, computing CPI base‑2009 and real GDP, parsing a large BeerAdvocate dump, using melt to tidy data, groupby/transform/stack/unstack, and a statsmodels regression for home‑team advantage. The build is practical — notebooks and scripts run — and a slightly surprising result is that team strength dominates while days‑of‑rest has little effect.
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chapters (6)
- 0:00Introduction
- 14:45Pandas data structures
- 30:17Indexing and Boolean ops
- 47:50Grouping and reshaping
- 1:05:29Tidy data analysis
- 1:25:50Q&A
