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Joins: Prices x Sector Lookup, merge() and the SQL JOIN | Pandas for Finance Ep8
Posted by Celest Kim

GroupBy on Time: Buckets, Pivots, Named Aggregations | Pandas for Finance Ep7
Posted by Celest Kim

Returns: Daily, Wealth Curve, Annualized, Sharpe, Drawdown | Pandas for Finance Ep6
Posted by Celest Kim

Pick Tickers and Columns: Brackets, .loc, .iloc, drop, rename | Pandas for Finance Ep5
Posted by Celest Kim

Filter Rows: Boolean Masks, .query(), .nlargest, Date Slices | Pandas for Finance Ep4
Posted by Celest Kim

Loading & Caching Real Data: Parquet, load_or_download Pattern | Pandas for Finance Ep3
Posted by Celest Kim

The DataFrame Mental Model: Index, Columns, Series, Vectorized | Pandas for Finance Ep2
Posted by Celest Kim

Why Pandas When You Have Excel: 5 Years of Apple in 5 Lines | Pandas for Finance Ep1
Posted by Celest Kim

The Finance Reporting Query Library (Capstone) | SQL for Finance Ep8
Posted by Celest Kim

Dates and Reporting Patterns: strftime, Fiscal Years, and AP Aging | SQL for Finance Ep7
Posted by Celest Kim

Window Functions: When Aggregates Shouldn't Collapse Your Rows | SQL for Finance Ep6
Posted by Celest Kim

Subqueries and CTEs: Stop Writing One Giant Query | SQL for Finance Ep5
Posted by Celest Kim
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