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 # Pandas1
 
 1 Problem 1 : Make a Pandas DataFrame with two-dimensional list	(	https://www.geeksforgeeks.org/make-a-pandas-dataframe-with-two-dimensional-list-python/)
+import pandas as pd
+
+# Two-dimensional list
+data = [['Geek1', 'Reacher', 25],
+        ['Geek2', 'Pete', 30],
+        ['Geek3', 'Wilson', 26],
+        ['Geek4', 'Williams', 22]]
+
+# Column names
+columns = ['FName', 'LName', 'Age']
+
+# Creating DataFrame with specified data types
+df = pd.DataFrame(data, columns=columns)
+
+# Displaying the DataFrame
+print(df)
 
 2 Problem 2 :Big Countries	(	https://leetcode.com/problems/big-countries/ )
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    return world[(world["area"] >= 3000000) | (world["population"] >= 25000000)][["name","population","area"]]
+    # return df[["name","population","area"]]
 
 3 Problem 3 :Recyclable and Low Fat Products	(	https://leetcode.com/problems/recyclable-and-low-fat-products/ )
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    return products[(products["low_fats"] == "Y") & (products["recyclable"]== "Y")][["product_id"]]
 
 4 Problem 4 :Customer Who Never Order	(	https://leetcode.com/problems/customers-who-never-order/  )
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    df = customers[~customers["id"].isin(orders["customerId"])]
+    return df[["name"]].rename(columns = {"name" : "Customers"})