Python is a popular programming language that provides various built-in functions to manipulate data. One such function is the 'map' function that allows us to apply a specific function to each item of an iterable object. In this article, we will discuss the 'Python map' function and its usage in detail.
What is Python Map?
In Python, the 'map' function is used to apply a given function to each item of an iterable object, such as a list, tuple, or dictionary. The 'map' function returns a new list containing the results of applying the given function to each item of the original iterable.
Example:
Let's take an example to understand the usage of the 'Python map' function: ``` # Define a function to square a number def square(x): return x*x # Define a list of numbers numbers = [1, 2, 3, 4, 5] # Apply the square function to each item of the list using map function squares = map(square, numbers) # Print the result print(list(squares)) ``` The output will be `[1, 4, 9, 16, 25]` which is the square of each item of the original list.
Usage of Python Map
The 'Python map' function is used extensively in various data manipulation tasks. Some of its popular applications are:
1. Applying a function to each item of a list
As we have seen in the above example, the 'Python map' function can be used to apply a specific function to each item of a list.
2. Converting one list to another
The 'Python map' function can be used to convert one list to another by applying a specific function to each item of the original list.
3. Removing duplicates from a list
The 'Python map' function can be used to remove duplicates from a list by converting it into a set and then back to a list.
4. Applying multiple functions to a list
The 'Python map' function can be used to apply multiple functions to a list by using lambda functions.
Conclusion
The 'Python map' function is a powerful tool for data manipulation tasks. It allows us to apply a specific function to each item of an iterable object such as a list, tuple, or dictionary. In this article, we have discussed the 'Python map' function and its usage in detail. We hope this article has been helpful in understanding the concept of 'Python map'.
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