Chapter 3: Problem 16
When a parameter is changed, does this affect the argument that was passed into the parameter?
Short Answer
Expert verified
Answer: Changing a parameter inside a function does not affect the original argument that was passed into the parameter. The parameter and the argument are separate variables, and any changes made to the parameter will not be reflected in the argument.
Step by step solution
01
1. Define a function with a parameter
First, we will define a simple function that takes one parameter as input and modifies it inside the function.
```python
def modify_parameter(param):
param += 1
print("Inside the function, the parameter is:", param)
```
02
2. Pass an argument to the function
Next, we will pass an argument (a value) to the function and observe the output.
```python
argument = 5
print("Before calling the function, the argument is:", argument)
modify_parameter(argument)
print("After calling the function, the argument is:", argument)
```
03
3. Analyze the output
Run the code to display the following output:
```
Before calling the function, the argument is: 5
Inside the function, the parameter is: 6
After calling the function, the argument is: 5
```
04
4. Interpret the results
From the output, we can conclude that:
- Before calling the function, the argument has a value of 5.
- Inside the function, the parameter (which has the same value as the argument that was passed to it) is incremented by 1 and becomes 6. This new value does not affect the original argument.
- After calling the function, the argument remains the same, with a value of 5.
Therefore, changing a parameter inside a function does not affect the original argument that was passed into the parameter. The parameter and the argument are separate variables, and any changes made to the parameter will not be reflected in the argument.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Arguments and Parameters
In the world of Python functions, you'll frequently encounter the terms "arguments" and "parameters." Understanding the difference between these two is key to mastering coding functions.
A parameter is like a placeholder or a variable used in a function definition. It specifies the type of input a function can accept. When you define a function, you include parameters in the parentheses, as if you are saying, "I want to handle this kind of input here."
A parameter is like a placeholder or a variable used in a function definition. It specifies the type of input a function can accept. When you define a function, you include parameters in the parentheses, as if you are saying, "I want to handle this kind of input here."
- Parameters: Think of them as undefined variables in a function.
param
in your function, and you run your function with an argument, say 5
, then param
will become 5
inside the function.- Arguments: These are the actual values you supply to the function's parameters during a function call.
Variable Scope
The concept of variable scope in Python governs where a variable can be accessed within a program. There are primarily two scopes you should be aware of: local scope and global scope.
This isolation ensures that working within a function doesn't unintentionally alter values used elsewhere in your program, making it a key principle of modular programming.
- Local Scope: These variables are defined and only accessible within a function. They exist for the duration of the function call.
- Global Scope: These variables can be accessed throughout the entire program, even inside functions, unless shadowed by local variables of the same name.
modify_parameter(param)
. Here, param
is a local variable. Changes to param
have no effect outside the function. This is why, even though param
becomes 6 inside the function, argument
outside remains unchanged as 5.This isolation ensures that working within a function doesn't unintentionally alter values used elsewhere in your program, making it a key principle of modular programming.
Python Functions
Python functions are powerful tools that help organize and automate repetitive tasks in your code. Understanding how Python functions work is crucial for writing efficient and modular programs.
Here’s a quick breakdown of Python functions:
Here’s a quick breakdown of Python functions:
- Definition: A function is a block of code that performs a specific task. It is defined using the
def
keyword, followed by a unique function name and parentheses that may include parameters. - Execution: To execute or "call" a function, use its name followed by parentheses. If the function requires parameters, they go inside the parentheses.
- Return Values: Functions can yield results using the
return
statement. However, if no return statement is provided, the function will returnNone
by default.
modify_parameter
modifies the parameter locally, showcasing the nature of function behavior and how arguments and return types can help control the program flow. Functions are essential to keeping your code DRY (Don't Repeat Yourself), simplifying complex problems into manageable sub-tasks.