Python lambda is the anonymous function without a name. Where normal functions are defined using
def define any function in Python. Another side anonymous (unnamed) functions are defined using the
lambda keyword. The advantage of it’s allowed you to write very short or small code and can’t contain any statements in a function.
Don’t be confused with anonymous functions or lambda functions both are the same in python.
lambda arguments : expression
Here you can use any number of arguments but only one expression in Python Lambda functions. The expression is evaluated and returns the result.
Python lambda example
The example of a lambda function that squares the value. it’s a very simple look at this.
# This Program shows the use of lambda functions sq = lambda x: x * x print(sq(5))
Multiplies Example: Python Lambdas functions Multiplies 2 argument
multi = lambda a, b: a * b print(multi(5, 6))
Sum Example: Python Lambdas functions sum 2 argument
sum = lambda a, b: a + b print(sum(5, 6))
Lambda a variable that needs to be present, Underscore
_ is a valid identifier and is used here as a variable name. It will always return
Truefor the argument passed to the function. The
_ is variable name.
Python lambda – no arguments
Note: it can be an interview question.
lamfunc = lambda _: True print(' missing 1 argument: ', lamfunc('?'))
Output: missing 1 argument: True
Q: Why are Python lambdas useful?
Answer: Python Lambdas functions are very much linked to functional programming style in general. Implementation of it can solve problems by applying a function to some data, merging the results, filter and manipulate, is what Google uses to implement most of its algorithms.
You can follow this tutorial where we used Lambdas function with a map python function – Multiple arguments into a map function using Lambdas function
Q: Why lambda function in python can’t use the “return” statement?
Answer: Because the return is a statement and the Lambdas function can only contain expressions, no statements.
Note: This example (Project) is developed in PyCharm 2018.2 (Community Edition)
JVM: OpenJDK 64-Bit Server VM by JetBrains s.r.o
All Examples Python lambda is in Python 3, so it may change its different from python 2 or upgraded versions.
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