Programming Essentials Python - User Defined Functions - Lambda Functions

In this article, we will delve into Lambda Functions in Python and explore their usage. Lambda functions, also known as anonymous functions in other programming languages, are a concise way to create small and temporary functions without the need to define a formal function using the def keyword.

Explanation for the video

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Key Concepts Explanation

Lambda functions have the following key characteristics:

Lambda Function Declaration

A lambda function starts with the keyword lambda followed by arguments and a colon, and then the expression to be evaluated.

lambda arguments: expression

Simple One-Liners

Lambda functions are typically used for simple one-liners where a full function definition is unnecessary. They are useful for short, repetitive tasks.

lambda x: x + 1

Limitations

There are restrictions on lambda functions:

  1. No return statement allowed.
  2. No assignment operations permitted.

Use lambda functions only for simple, infrequently used operations.

Example Usage

lambda x: x * 2

Hands-On Tasks

Here are a few tasks to practice using lambda functions:

  1. Create a lambda function that squares a given number.
  2. Use a lambda function to filter a list of numbers and return only the even ones.
  3. Implement a lambda function that checks if a number is divisible by 3.

Conclusion

In this article, we covered the essence of lambda functions in Python, their syntax, and common use cases. Practice creating and applying lambda functions to enhance your programming skills. Remember to engage with the community and seek guidance for further learning opportunities.

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