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curriculum/challenges/english/blocks/learn-lambda-functions-by-building-an-expense-tracker/6582324b5d37fe4b622bc3c0.md

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--description--

Lambda functions are brief, anonymous functions in Python, ideal for simple, one-time tasks. They are defined by the lambda keyword, and they use the following syntax:

py
lambda x: expr

In the example above, x represents a parameter to be used in the expression expr, and it acts just like any parameter in a traditional function. expr is the expression that gets evaluated and returned when the lambda function is called.

Create a variable named test and assign it a lambda function that takes an x parameter and returns x * 2.

--hints--

You should declare a variable named test.

js
({ test: () => assert(runPython(`_Node(_code).has_variable("test")`))})

You should assign lambda x: x * 2 to your test variable.

js
({ test: () => assert(runPython(`_Node(_code).find_variable("test").is_equivalent("test = lambda x: x * 2")`))})

--seed--

--seed-contents--

py
def add_expense(expenses, amount, category):
    expenses.append({'amount': amount, 'category': category})
    
def print_expenses(expenses):
    for expense in expenses:
        print(f'Amount: {expense["amount"]}, Category: {expense["category"]}')

def total_expenses(expenses):
    pass
    
--fcc-editable-region--

--fcc-editable-region--

expenses = []