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Python Lambda Function
The document explains Python lambda functions, which are anonymous functions defined using the 'lambda' keyword. It highlights their characteristics, such as taking multiple arguments but returning only one expression, and their use in higher-order functions. An example is provided to illustrate the syntax and functionality of a lambda function.
Python Lambda Function
- 1. Python Lambda Function PreparedBy: Md Soyaib
- 2. Lambda Function Lambda functionsare also called anonymous functions. An anonymous function is a function defined without a name. As we know to define a normal function in python, we need to use the def keyword. But in this case of anonymous functions, we use the lambda keyword to define the functions.
- 3. The characteristics oflambda function The lambda function can take many arguments but can return only one expression. Syntactically, lambda functions are restricted to only a single expression. We can use them as an anonymous function inside other functions. Lambda function is reusable.
- 4. Why should weuse lambda functions? Lambda functions are used when we need a function for a short period of time. This is commonly used when we want to pass a function as an argument to higher-order functions, that is, functions that take other functions as their arguments.
- 5. Basic Syntax ofLambda Function lambda arguments : expression Every lambda begins with the “lambda” keyword A lambda can have multiple arguments A colon precedes the expression The expression always returns a object
- 6. Example double = lambdax : x * 2 print(double(5)) Output: 10 Function object that accepts and stores the result of the expression
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