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Impara Lambda Functions | Functions and Modules
Introduction to Data Analysis in Python
course content

Contenuti del Corso

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
2. Data Types
3. Control Flow
4. Functions and Modules
5. Introduction to NumPy

book
Lambda Functions

Sometimes you may need to define small one-action function. Especially it's quite useful for preprocessing data. In this case, you can use lambda function.

Lambda function is a small anonymous function (unless you assign it to some variable) that can have many arguments, but only one expression/instruction. To define lambda function use the keyword lambda followed by arguments. Next, set the colon sign, and define the instruction. For example, the circle_area function can be expressed as lambda:

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# Import the library import math # Define lambda function area = lambda R: print("Area:", math.pi*R**2) # Calling function area(5) area(8)
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Sezione 4. Capitolo 7

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course content

Contenuti del Corso

Introduction to Data Analysis in Python

Introduction to Data Analysis in Python

1. Basics
2. Data Types
3. Control Flow
4. Functions and Modules
5. Introduction to NumPy

book
Lambda Functions

Sometimes you may need to define small one-action function. Especially it's quite useful for preprocessing data. In this case, you can use lambda function.

Lambda function is a small anonymous function (unless you assign it to some variable) that can have many arguments, but only one expression/instruction. To define lambda function use the keyword lambda followed by arguments. Next, set the colon sign, and define the instruction. For example, the circle_area function can be expressed as lambda:

123456789
# Import the library import math # Define lambda function area = lambda R: print("Area:", math.pi*R**2) # Calling function area(5) area(8)
copy

Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 4. Capitolo 7
Siamo spiacenti che qualcosa sia andato storto. Cosa è successo?
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