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Sandwiches: Write a function that accepts a list of items a person wants on a sandwich. The function should have one parameter that collects as many items as the function call provides, and it should print a summary of the sandwich that is being ordered. Call the function three times, using a different number of arguments each time.

Short Answer

Expert verified
Define `make_sandwich(*args)` and print the items. Call three times with varying arguments.

Step by step solution

01

Define the Function

Start by defining a Python function named `make_sandwich`. This function will take a variable number of arguments, so use the '*args' syntax. This allows the function to accept any number of arguments passed to it.
02

Create a Summary within the Function

Inside the function, print a message summarizing the items that will be included in the sandwich. Use a loop to iterate over the `args` to access each item, and format the output neatly.
03

Plan to Call the Function

Prepare to call the function `make_sandwich` three times. Each call should include a different number of arguments to test the function's ability to handle variable input sizes.
04

Call the Function with Sample Orders

Execute the function `make_sandwich` three times with different numbers of arguments. For example: ```python make_sandwich('ham', 'cheese') make_sandwich('turkey', 'lettuce', 'tomato') make_sandwich('peanut butter', 'jelly', 'banana', 'honey') ```
05

Verify Output

Check that the output of each function call correctly summarizes the sandwich order, listing all the items provided in the arguments.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Functions in Python
Functions in Python are a way to encapsulate code that performs a specific task. They define a particular behavior or action that can be reused throughout a program.
Functions help in organizing code, making it readable and maintainable. A function has a name, can take arguments (inputs), and can return outputs.
For example, defining a function starts with the `def` keyword followed by a name and parameters: ```python def make_sandwich(*items): # Code to execute ```
  • `def`: The keyword to declare a function.
  • `make_sandwich`: The name of the function, chosen to be descriptive of its operation.
  • (*items): Represents parameters, allowing the function to accept multiple input values.
Functions can perform calculations, modify data, or execute tasks, such as printing a custom sandwich order.
By encapsulating this action in a function, you only write the task once and reuse it multiple times. This saves time and reduces errors.
Variable Arguments
In Python, variable arguments allow a function to accept any number of arguments. This is facilitated by the use of the `*args` syntax.
The `*args` parameter is used to pass a variable-length argument list to the function. It allows you to input as few or as many arguments as you want when calling the function.
  • Flexible Input: With `*args`, the function can process varying numbers of arguments, making it adaptable and flexible.
  • Usage Syntax: The asterisk `*` before the parameter name tells Python to pack all the extra arguments into a tuple named `args`.
  • Unpredictable Data: Great for when the number of input items is not known beforehand.
For instance, in our sandwich-making function: ```python make_sandwich('ham', 'cheese') make_sandwich('turkey', 'lettuce', 'tomato') ``` Each call can have a different number of parameters, all handled seamlessly.
List Iteration
List iteration in Python allows you to go through elements sequentially in a list or collection. This is particularly useful when you need to perform actions on each element, such as printing or processing data.
Iterating over a list can be done with loops like `for` loops, which go through each item in order: ```python for item in items: print(f"Including {item} on your sandwich.") ```
  • Access Each Element: Iteration means you can process each item in a collection individually.
  • Simplify Operations: Automatically go through all elements, writing less and more efficient code.
  • Formatting Output: Great for generating detailed, formatted output from collections.
Using iteration in our `make_sandwich` function ensures all items are neatly listed in the sandwich summary.
Each ingredient is accessed and printed, creating a clear output without manually writing code for each possible ingredient.

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