diff --git a/curriculum/challenges/english/07-scientific-computing-with-python/learn-lambda-functions-by-building-an-expense-tracker/65822308ded1ba4632f66aa3.md b/curriculum/challenges/english/07-scientific-computing-with-python/learn-lambda-functions-by-building-an-expense-tracker/65822308ded1ba4632f66aa3.md
index 73a865105ec..5c850342519 100644
--- a/curriculum/challenges/english/07-scientific-computing-with-python/learn-lambda-functions-by-building-an-expense-tracker/65822308ded1ba4632f66aa3.md
+++ b/curriculum/challenges/english/07-scientific-computing-with-python/learn-lambda-functions-by-building-an-expense-tracker/65822308ded1ba4632f66aa3.md
@@ -13,9 +13,9 @@ A dictionary is another built-in data type in Python. A dictionary is a collecti
 {'amount': 50.0, 'category': 'Food'}
 ```
 
-In the example above, `amount` and `category` are keys, and `50.0` and `'Food'` are their the corresponding values.
+In the example above, `'amount'` and `'category'` are keys, and `50.0` and `'Food'` are their corresponding values.
 
-Create a dictionary with a key `amount` and value of the `amount` parameter and pass your new dictionary to the `.append()` call.
+Create a dictionary with a key `'amount'` and value of the `amount` parameter and pass your new dictionary to the `.append()` call.
 
 # --hints--