def f(...):
...
return ...
def g:
... = f(...)def g:
f = lambda ... : ...
... = f(...)You're redefining the lambda ##f## in every iteration of ##g##. Put the lambda definition of ##f## outside the body of ##g## and see what happens.ergospherical said:any reasons why?
Function calls are generally faster than lambda calls in Python. This is because functions have a defined name and can be reused, whereas lambdas are anonymous functions that are created and called on the fly.
Yes, there can be performance differences between using functions and lambdas in Python. Functions are typically more efficient than lambdas due to their reusability and defined names. Lambdas, on the other hand, are more concise but may be slower due to their anonymous nature.
If performance is a concern, it is generally recommended to use functions over lambdas in Python. Functions are more efficient and can be optimized for reuse, whereas lambdas are better suited for short, one-off operations.
Yes, there are scenarios where lambdas may be more suitable than functions in Python. Lambdas are often used in situations where a small, anonymous function is needed for a short operation, such as in sorting or filtering data.
While the speed of function calls vs lambda calls may have a minor impact on the overall performance of a Python program, other factors such as algorithm complexity, data structures, and I/O operations are typically more significant. It is important to consider the trade-offs between readability, maintainability, and performance when deciding whether to use functions or lambdas in your code.