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python A Lambda expression is a small anonymous function that stores an expression in a variable and returns its value. Lambda expressions are often used to perform simple tasks that can be accomplished by writing a separate function, but Lambda expressions can make the code more concise and readable.
The syntax of Lambda expression is as follows:
lambda arguments : expression
arguments
is the parameter list received by the Lambda expression, expression
is the body of the Lambda expression, which contains the code that needs to be executed.
For example, the following Lambda expression adds two numbers and returns their sum:
lambda x, y: x + y
This Lambda expression can be used like this:
result = (lambda x, y: x + y)(1, 2)
This will add 1 and 2 and store the result in the variable result
.
Lambda expressions can make code more concise and readable. For example, the following code uses a Lambda expression to filter a list, leaving only numbers greater than 5:
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] filtered_numbers = list(filter(lambda x: x > 5, numbers))
This code is much simpler than using the traditional method:
def greater_than_5(x): return x > 5 filtered_numbers = list(filter(greater_than_5, numbers))
Lambda expressions can also be used to create function pointers. A function pointer is a variable that points to the memory address of a function. This allows us to call functions in a generic way without knowing the function's name.
For example, the following code uses a Lambda expression to create a function pointer that points to the print_hello()
function:
print_hello = lambda: print("Hello, world!")
Then, we can use the function pointer to call the print_hello()
function:
print_hello()
This will output "Hello, world!".
Lambda expression is a powerful tool that can make Python code more concise and readable. It can also be used to create function pointers, which allow us to call functions in a generic way.
Lambda expression comparison:
Lambda expression usage:
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