English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 0h 33m | 121 MB
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.
Table of Contents
1 Intro
2 Sorting numbers with sorted()
3 Sorting Strings with sorted()
4 The reverse Parameter
5 Passing in a key Argument
6 The sort() Method
7 Common Issues with Sorting in Python
8 When to Use sorted() vs sort()
9 Summary
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