![]() ![]() Selection: Selecting items from a list based on their relationship to the rest of the items is easier with sorted data. Searching: Searching for an item on a list works much faster if the list is sorted. You can use sorting to solve a wide range of problems: There are dozens of different sorting implementations and applications that you can use to make your code more efficient and effective. Sorting is one of the most thoroughly studied algorithms in computer science. The Importance of Sorting Algorithms in Python Let’s get started!įree Download: Get a sample chapter from Python Tricks: The Book that shows you Python’s best practices with simple examples you can apply instantly to write more beautiful + Pythonic code. More importantly, you’ll have a deeper understanding of different algorithm design techniques that you can apply to other areas of your work.
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