Python Lambda Functions Explained Under 5 min! | Lambda Functions in Python Tutorial With Examples

In this video on "Python Lambda Functions Explained Under 5 min! | Lambda Functions in Python Tutorial With Examples," we dive into the concept of lambda functions in Python. Lambda functions, also known as anonymous functions, are small, unnamed functions defined using the lambda keyword. They are often used for short-term tasks where a full function definition would be unnecessary. This tutorial will provide a clear understanding of lambda functions and demonstrate their use with practical examples.

This video on "Python Lambda Functions Explained Under 5 min! | Lambda Functions in Python Tutorial With Examples" includes the following topics:

00:00 Introduction
00:20 What Are Lambda Functions?
00:48 Syntax of Lambda Functions
01:03 Simple Example of a Lambda Function
01:25 Using Lambda Functions with Map
01:48 Using Lambda Functions with Filter
02:15 Using Lambda Functions with Reduce
02:39 Lambda Functions in Higher-Order Functions
03:16 Best Practices for Using Lambda Functions
03:39 Conclusion

What are Lambda Functions in Python?
Lambda functions in Python are small, anonymous functions defined using the lambda keyword. Unlike regular functions defined using the def keyword, lambda functions can have any number of arguments but only one expression. The expression is evaluated and returned. Lambda functions are often used for simple tasks that are used once or twice in a program, making the code more concise and readable.

How do you use Lambda Functions with Examples?
Lambda functions are particularly useful in scenarios where you need a simple function for a short period. They are commonly used with functions like map(), filter(), and reduce(). For example, a lambda function can be used with map() to square all elements in a list: squares = list(map(lambda x: x**2, [1, 2, 3, 4])). Another example is using filter() to get even numbers from a list: evens = list(filter(lambda x: x % 2 == 0, [1, 2, 3, 4])).

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