requirements.txt

@@ -1,6 +1,4 @@
 ruff == 0.15.1
 black == 26.1.0
 pytest == 9.0.2
-pre-commit == 4.5.1
-matplotlib == 3.10.8
-pandas == 3.0.1
+pre-commit == 4.5.1

src/tutorial/modules_imports/analysis/__main__.py

@@ -1,8 +0,0 @@
-from analysis.io import read_csv
-from analysis.metrics import revenue
-
-if __name__ == "__main__":
-    df = read_csv("analysis/csv/sales.csv")
-    print(df)
-    df = revenue(df)
-    print(df)

src/tutorial/modules_imports/analysis/csv/sales.csv

@@ -1,11 +0,0 @@
-day,product,quantity,unit_price,region
-Mon,Notebook,3,899.0,West
-Mon,Mouse,12,25.0,West
-Tue,Notebook,2,899.0,Ost
-Tue,Keyboard,5,70.0,Ost
-Wed,Monitor,4,220.0,West
-Wed,Mouse,10,25.0,Nord
-Thu,Keyboard,6,70.0,Sued
-Thu,Monitor,3,220.0,Ost
-Fri,Notebook,1,899.0,Nord
-Fri,Mouse,15,25.0,Sued

src/tutorial/modules_imports/analysis/io.py

@@ -1,5 +0,0 @@
-import pandas as pd
-
-
-def read_csv(file: str) -> pd.DataFrame:
-    return pd.read_csv(file)

src/tutorial/modules_imports/analysis/metrics.py

@@ -1,6 +0,0 @@
-import pandas as pd
-
-
-def revenue(df: pd.DataFrame) -> pd.DataFrame:
-    revenue = df["quantity"] * df["unit_price"]
-    return revenue.groupby("day").sum()