Set() and List() Function using Python

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by Abdul Rawoof A R dot icon Updated: Feb 10, 2024

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Python’s set() function creates a new set object, i.e., an unordered collection of unique elements. People use sets for tasks such as:

  • Removing duplicates from a list or other iterable. 
  • Using a set to check for an element's presence in a collection is more efficient than using a list or tuple. This is due to the fact units use hash tables.
  • Performing mathematical set operations such as union, intersection, and difference. 

Python’s list() function creates a new list object from an existing iterable. The iterable could be a tuple, string, or another list. It is also used to convert other objects, such as a range or an iterator, into a list. list() also have other uses: 

  • You can also use the list() function to convert a string into a list of characters. 
  • You can also use the list() function to convert a range object into a list. 
  • You can also use the list() function to create an empty list. 

Generally, you can use the list() function to convert other types of iterable objects into a list. You can use it with tuples, strings, or ranges. This allows you to manipulate them using all list methods and operators. 

 You may have a look at the code given below for set() and list() function using Python. 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

Instructions

Follow the steps carefully to get the output easily.

  1. Install python on your IDE(Any of your favorite IDE).
  2. Copy the snippet using the 'copy' and paste it in your IDE.
  3. Run the file to generate the output.


I hope you found this useful.

I found this code snippet by searching for 'Python set() and list() functions together' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. The solution is created in PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.


Using this solution, we are able to implement set() and list() functions together using python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to implement set() and list() functions together using python.

FAQ

1. What is the primary purpose of Python's set() function?

You use the set() function to create a new set object, which is an unordered collection of unique elements. Tasks such as removing duplicates and performing efficient element presence checks use it.


2. Why is using a set more efficient for checking an element's presence compared to a list or tuple?

Sets use hash tables, which offer faster lookup times compared to lists or tuples. Using a set for element presence checks is more efficient. This is especially true when dealing with large collections of data.


3. What are some common mathematical set operations facilitated by Python's set() function?

  • Python's set() function enables the execution of various mathematical set operations. These include union, intersection, and difference. These operations are essential for tasks. These tasks include combining or comparing sets of data elements.

4. What are the diverse uses of Python's list() function?

  • The list() function in Python serves many purposes:
  • It converts existing iterables like tuples, strings, or other lists into a new list object.
  • It transforms strings into lists of individual characters, facilitating character-level manipulation.
  • It converts range objects into lists. This provides a convenient way to represent numerical sequences.
  • It can create an empty list, serving as a starting point for appending or populating data .


5. How versatile is the list() function in converting iterable objects into lists?

  • The list() function in Python is versatile. It allows you to convert various iterable objects into lists. Users can apply it with tuples, strings, ranges, or any other iterable type. They can leverage list methods and operators for efficient data manipulation and processing.


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