Python Tutorial: How to sort lists

Estimated reading time: 2 minutes

Following on from our post on how to use Python lists have you ever wondered how to sort lists for your Python project?

Our latest video on lists will go through some of the techniques available so that you can get an idea of how to structure your data and sort.

Getting to understand how to implement

In this latest video we will look at:

  • sort() method
  • sorted() function
  • sorting a list through a function

 

Adding in those extra bits to help make the process smoother

Have you thought about sorting ascending/descending?

  • There is also a discussion on this topic as well, and while an index is available for the list, which you may feel does not merit sorting, there could be other logical reasons to implement sorting.
  • Leaving out the reverse = True/False in the sorted method can have an impact, though if you require it left out of the list you have created, automatic ascending will be the default.

On this channel, we have discussed a number of different ways to manage your data. In thinking about sorting a list, why would you want to do this?

Some common reasons are:

  • To visually see if there are duplicates, either on the screen or printed out.
  • If other objects are dependant on the list, say a combo box, then having duplicates visible can help to reduce the size of their contents.
  • Iteration – If you are looking to iterate over a list, it will be quicker if it is sorted.

If you want to learn about lists, using them, and how how they can be iterated over, why not visit Data Analytics Ireland YouTube channel, there are lots of videos there that will help explain the concepts discussed here further.

To get some more links on this topic click here python sort method, it is a blog posting from our website that has some useful links and explanations for you.

YouTube channel lists – Python Lists

Estimated reading time: 1 minute

Python lists are a handy tool to help in several ways:

(A) There can be a help when iterating through a large dataset if looking for specific items.

(B) It is possible to use them as lookup values if checking for a particular value.

(C) To have a list of things that need to be checked against, if updated regularly, then lists are helpful here.

(D) If you have a list, by converting to a dataframe, it can be sliced and diced as need be, see Dataframes Posting for more videos on that subject.

Check out our YouTube channel for more exciting videos:

https://www.youtube.com/embed?listType=playlist&list=PL2nlwZUZ5tFKnZLwNeto2w2E0HifsY0qZ&v=dBKNyEHkKc0

We hope you enjoy it!

Data Analytics Ireland