<code>map(function, iterable[, iterable2, iterable3,...iterableN])</code>
Table of Contents
Table of Contents
Introduction
Python is one of the most popular programming languages that is used by developers all around the world. Python provides many built-in functions that make programming easier and faster. One of these built-in functions is Map().What is Map()?
Map() is a built-in function in Python that allows you to apply a function to each element of an iterable object, such as a list, tuple or set, and returns a new iterable object with the results.How to use Map()?
The syntax of the Map() function is as follows:map(function, iterable[, iterable2, iterable3,...iterableN])
Example of Map()
Here is an example of using Map() in Python:def square(x): return x * x numbers = [1, 2, 3, 4, 5] squared_numbers = map(square, numbers) print(list(squared_numbers))
[1, 4, 9, 16, 25]
Advantages of Map()
The Map() function has several advantages, including:- It allows you to perform a function on each element of an iterable object without having to write a loop.
- It is faster than using a loop because it is implemented in C and optimized for performance.
- It is more concise and readable than using a loop.
Disadvantages of Map()
The Map() function also has some disadvantages, including:- It can be less flexible than using a loop because it only allows you to apply a single function to an iterable object.
- It can be less memory-efficient than using a loop because it creates a new iterable object.
