feat: tutorial analysis for modules and imports

requirements.txt

@@ -2,3 +2,5 @@ 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

src/tutorial/modules_imports/analysis/__main__.py

@@ -0,0 +1,8 @@
+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

@@ -0,0 +1,11 @@
+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

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

src/tutorial/modules_imports/analysis/metrics.py

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