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Anonymous Functions (Lambda) Video Lecture | Crash Course for EmSAT Achieve
FAQs on Anonymous Functions (Lambda) Video Lecture - Crash Course for EmSAT Achieve
| 1. What is an anonymous function in Python? |  |
Ans. An anonymous function, also known as a lambda function, is a function that is defined without a name. It is a small and limited function that can take any number of arguments but can only have one expression.
| 2. How do you define an anonymous function in Python? | |
Ans. To define an anonymous function in Python, you can use the lambda keyword followed by the arguments and a colon, and then the expression to be evaluated. For example, lambda x: x * 2 defines an anonymous function that takes an argument x and returns its double.
| 3. What are the advantages of using anonymous functions in Python? | |
Ans. The advantages of using anonymous functions in Python include:
- They are concise and can be defined in a single line of code.
- They can be used as arguments in higher-order functions like map, filter, and reduce.
- They help in writing more readable and maintainable code by avoiding the need for defining separate named functions.
| 4. Can anonymous functions in Python have multiple arguments? | |
Ans. Yes, anonymous functions in Python can have multiple arguments. You can specify multiple arguments separated by commas after the lambda keyword. For example, lambda x, y: x + y defines an anonymous function that takes two arguments x and y and returns their sum.
| 5. How are anonymous functions different from named functions in Python? | |
Ans. Anonymous functions differ from named functions in the following ways:
- Anonymous functions do not have a name and are defined using the lambda keyword.
- Anonymous functions can only have one expression, while named functions can have multiple statements.
- Anonymous functions are often used for small and simple tasks, while named functions are suitable for more complex operations and code reuse.
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Nov 24, 2024 Last updated |
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