Lambda Functions in Python
All the functions we've created up until now are stored in memory after the code runs for the first time. However, there are times when you might not want to create a standalone function, especially for straightforward tasks. In these situations, you can use Python's lambda function, which is essentially an anonymous function. Here's the syntax:
lambda var1, var2, ... : expression
As an illustration, let's revisit our initial function. We can refactor it using a lambda function to return the squared sum of two numbers:
1234# Define lambda function sq = lambda x, y: (x + y)**2 # Test it print('Sum of 2 and 3 squared is', sq(2, 3))
Note
As you might infer, not all functions we've discussed can be converted into
lambdafunctions. Typically,lambdafunctions are best suited for concise operations that fit within a single line.
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All the functions we've created up until now are stored in memory after the code runs for the first time. However, there are times when you might not want to create a standalone function, especially for straightforward tasks. In these situations, you can use Python's lambda function, which is essentially an anonymous function. Here's the syntax:
lambda var1, var2, ... : expression
As an illustration, let's revisit our initial function. We can refactor it using a lambda function to return the squared sum of two numbers:
1234# Define lambda function sq = lambda x, y: (x + y)**2 # Test it print('Sum of 2 and 3 squared is', sq(2, 3))
Note
As you might infer, not all functions we've discussed can be converted into
lambdafunctions. Typically,lambdafunctions are best suited for concise operations that fit within a single line.
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