diff --git a/2d Dimentional.sql b/2d Dimentional.sql
new file mode 100644
index 0000000..0093c93
--- /dev/null
+++ b/2d Dimentional.sql	
@@ -0,0 +1,17 @@
+#List to DF
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    lst=[["sonu",26],["maggi",25],["pooja",27]]
+   #print(type(df))
+    return pd.DataFrame(lst,columns=["Name","Age"])
+
+
+
+#Dict to DF
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    data={"name":["sonu","pooja","maggi"],"age":[26,27,25]}
+    #print(type(data))
+    return pd.DataFrame(data).rename(columns={"name":"nam","age":"ah"})
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diff --git a/BigCountries.sql b/BigCountries.sql
new file mode 100644
index 0000000..675d7b8
--- /dev/null
+++ b/BigCountries.sql
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+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    df=world[(world["area"]>=3000000)|(world["population"]>=25000000)]
+    df=df[["name", "area", "population"]]
+    return df
+
diff --git a/CustomersWhoNeverOrder.sql b/CustomersWhoNeverOrder.sql
new file mode 100644
index 0000000..a8d5d79
--- /dev/null
+++ b/CustomersWhoNeverOrder.sql
@@ -0,0 +1,14 @@
+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"})
+
+
+#2nd method using merge
+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"})
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diff --git a/Recyclable.sql b/Recyclable.sql
new file mode 100644
index 0000000..7363190
--- /dev/null
+++ b/Recyclable.sql
@@ -0,0 +1,6 @@
+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    df=products[(products["low_fats"]=="Y") & (products["recyclable"]=="Y")]
+    df=df[["product_id"]]
+    return df
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