Done Pandas1

BigCountries.py

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+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    big_count=  world[(world['population'] >= 25000000) | (world['area'] >= 3000000)]
+    return big_count[['name', 'population', 'area']]
+
+

CustomerWhoNeverOrder.py

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+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    df = customers.merge(orders , left_on = 'id' , right_on = 'customerId', how = 'left')
+    df = df[df['customerId'].isna()]
+    return df[['name']].rename(columns = {'name' : 'Customers'})

MakeAPandasDataFrameWithTwo-dimensionalList.py

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+# import pandas as pd 
+import pandas as pd  
+
+# List1  
+lst = [['Geek', 25], ['is', 30], 
+       ['for', 26], ['Geeksforgeeks', 22]] 
+
+# creating df object with columns specified    
+df = pd.DataFrame(lst, columns =['Tag', 'number']) 
+print(df )

RecyclableAndLowFatProducts.py

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+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    prod= products[(products["low_fats"]=="Y")& (products["recyclable"]=="Y")]
+    return prod[['product_id']]
+