Python: Pros and Cons of Lambda

Figure 1: Photo by Z S on Unsplash

Basics for lambda

lambda is a keyword in Python, we use it to create an anonymous function. So we also call lambda functions as anonymous functions.

But what’s anonymous functions?

Normal function defined like this:

def sum_two(x, y): x + y print(sum_two) print(type(sum_two)) #<function sum_two at 0x10f54eb18> #<type 'function'> 

From the result, sum_two is the name of the defined function, it’s type is ‘function’.

Compared to normal function, anonymous function is a function without a name:

print(lambda x, y: x + y) print(type(lambda x, y: x + y)) #<function <lambda> at 0x108227f50> #<type 'function'> 

The benefits of lambda

But, why we want a function without a name?

Because naming is too damn hard! Think about how much time you spent on naming(variables, functions, classes) when you are programming.

In fact, not all functions deserved a name.

Some functions are used temporarily and we don’t need them later. We use a lambda function to saving time for naming and get better readability.

Suppose we need to add 2 to each element in a list, instead of use normal function:

def add_2(x): return x + 2 lst = [3,5,-4,-1,0,-2,-6] map(add_2, lst) 

We could use lambda to finish the same computation in one line:

map(lambda x: x +2, lst) 

This is simplicity. We can write a lambda function with no hassle.

There are other functions like filter, reduce, sorted, they receive lambda function as a parameters.

The pitfall of lambda

The purpose of lambda function is to improve the code’s readability. So if the logic of a function is not simple, we should not use lambda.

A simple rule is: don’t use lambda for the functions whose lengths are more than one lines.

Think about this code snippet, could you understand this code easily?

f = lambda x: [[y for j, y in enumerate(set(x)) if (i >> j) & 1] for i in range(2**len(set(x)))] 

Obviously, this code is difficult to understand. The intention of this code is to get all the subsets from a set.

a = {1, 2, 3} print(f(a)) # [[], [1], [2], [1, 2], [3], [1, 3], [2, 3], [1, 2, 3]] 

In this case, we should use a normal function with a proper name:

def powerset(s): N = len(s) result = [] for i in range(2 ** N): combo = [] for j, y in enumerate(s): if (i >> j) % 2 == 1: combo.append(y) result.append(combo) return result print(powerset(a)) 

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