Initial commit

workshop/pandas-shoes/polars_shoes.py

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+import polars as pl
+import pandas as pd
+import duckdb as duck
+from contexttimer import Timer
+
+
+if __name__ == '__main__':
+    loops: int = 10
+    pf = pl.read_csv("data/womens-shoes.csv", infer_schema_length=2 ** 30)
+    df = pd.read_csv("data/womens-shoes.csv")
+
+    # Polars Dataframe (±9ms)
+    with Timer() as timer:
+        for i in range(loops):
+            df2 = pf.sort("prices.amountMin", descending=bool(i % 2))
+            print(df2["prices.amountMin"][0])
+    print(timer.elapsed)
+
+    # DuckDB Dataframe (±1000ms)
+    with Timer() as timer:
+        for i in range(loops):
+            asc = "ASC" if i % 2 == 0 else "DESC"
+            df2 = duck.query(f"""SELECT * FROM df ORDER BY "prices.amountMin" {asc}""").to_df()
+            print(df2["prices.amountMin"].iloc[0])
+    print(timer.elapsed)