All programmers will have to write code to sort items or data at some point. Sorting can be critical to the user experience in your application, whether it’s ordering a user’s most recent activity by timestamp, or putting a list of email recipients in alphabetical order by last name. Python sorting functionality offers robust features to do basic sorting or customize ordering at a granular level.
In this course, you’ll learn how to sort various types of data in different data structures, customize the order, and work with two different methods of sorting in Python.
By the end of this tutorial, you’ll know how to:
- Implement basic Python sorting and ordering on data structures
- Differentiate between
sorted()
and.sort()
- Customize a complex sort order in your code based on unique requirements
For this course, you’ll need a basic understanding of lists and tuples as well as sets. Those data structures will be used in this course, and some basic operations will be performed on them. Also, this course uses Python 3, so example output might vary slightly from what you’d see if you were using Python 2.
What’s Included:
- 9 Lessons
- Video Subtitles and Full Transcripts
- 1 Downloadable Resource
- Accompanying Text-Based Tutorial
- Q&A With Python Experts: Ask a Question
- Certificate of Completion
Downloadable Resources:
Related Learning Paths:
davedanger on Oct. 18, 2020
I’m taking an MIT EDX course (6.002.X) but Real Python is my goto for detailed explanation when and where needed. This helped me “sort” out some of the nuances that they glossed over in the lecture material. Thanks! Your tutorial is very well presented, and the key = lambda x:… explanation was what I needed for a current problem set.