Python parameters
Created By: chatGPT
Parameters in Python are variables that accept values when a function is called. They allow us to pass data into functions. Understanding how to use parameters is crucial for efficient coding. Here’s how to define a function with parameters:
def greet(name):
print(f'Hello, {name}!')
When you call a function with parameters, you provide the actual values that the parameters will use. Here's an example of how to call the
greet
function:greet('Alice') # Output: Hello, Alice!
Default Parameters allow you to set a default value for a parameter if no argument is passed during the function call. You can define a function with a default parameter as shown:
def greet(name='John'):
print(f'Hello, {name}!')
With the above function, if you call
greet()
without any arguments, it will use 'John' as the default name:greet() # Output: Hello, John!
Keyword Arguments offer more clarity by allowing you to specify arguments by their parameter name. This is helpful when a function has many parameters. Here’s an example:
def describe_person(name, age):
print(f'{name} is {age} years old.')
describe_person(age=25, name='Alice')
In the example above, we pass the
age
and name
as keyword arguments. This way, the order of arguments does not matter.describe_person(name='Bob', age=30) # Output: Bob is 30 years old.
Variable-length Arguments allow you to pass a variable number of arguments to a function. You can achieve this using the
*args
and **kwargs
syntax. Here’s a quick example for each:def my_favorite_fruits(*fruits):
for fruit in fruits:
print(f'I like {fruit}.')
my_favorite_fruits('apple', 'banana', 'cherry')
In this code snippet, the
In this case, *fruits
allows the function to take any number of fruit arguments. Now, let’s consider **kwargs
for keyword arguments:def print_student_info(**student):
for key, value in student.items():
print(f'{key}: {value}')
print_student_info(name='Alice', age=20, major='Biology')
**student
collects all keyword arguments into a dictionary, which allows us to handle different types of data flexibly.