Lambda functions as arguments

Lambda functions as arguments

Lesson Details:
June 29, 2020

I: Introduction

A: Hello world in python programming language

B: Layers in python

II: Body

A: Lambda functions as arguments

III: Conclusion

A: Learning complete python programming for beginners

B: Good for experienced programmers too

I. Introduction

This article is about the history, usage of Python programming language. It has been created by Guido van Rossum in 1991 and has become one of the most popular programming languages in terms of usage. This is the reason that it has been widely used for data science purposes. You can watch this video to know more about python for beginners.

II. Body

Lambda functions are the arguments of the python programming language. The syntax is similar to all other programming languages like Java, C++. Lambda functions are very useful in Python programming because the syntax is very clear and concise. This provides a lot of flexibility to use lambda functions in data science projects. Lambda functions can be used as arguments of function statements. When you call the function, it returns the value of the lambda function automatically.

The following example shows how to apply lambda functions in Python programming. It will return the square of the number 2. For example, if you enter 4, then this code will return 16.

#!/usr/bin/python2.7 def square(x): return x * x print square(2)

The above code will return 16 when you enter 4. You can see that it is very easy to understand what this code does without seeing any complex syntax. You can also use lambda functions inside a list comprehension or a dictionary comprehension in Python programming. It is easy to read this code because it is easy to understand. If you want to learn more about data science projects in python, you can check out our python data science projects tutorial section.

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