#Complexity of the code snippit how to
#Complexity of the code snippit code

In this example, run_sorting_algorithm() receives the name of the algorithm and the input array that needs to be sorted. Only import the 7 # algorithm function if it's not the built-in `sorted()`. HereвЂ™s a function you can use to time your algorithms:ДЎ from random import randint 2 from timeit import repeat 3 4 def run_sorting_algorithm ( algorithm, array ): 5 # Set up the context and prepare the call to the specified 6 # algorithm using the supplied array.

#Complexity of the code snippit code

For more information on the different ways you can time the execution of code in Python, check out Python Timer Functions: Three Ways to Monitor Your Code. In this section, youвЂ™ll focus on a practical way to measure the actual time it takes to run to your sorting algorithms using the timeit module. The specific time each algorithm takes will be partly determined by your hardware, but you can still use the proportional time between executions to help you decide which implementation is more time efficient. When comparing two sorting algorithms in Python, itвЂ™s always informative to look at how long each one takes to run.

For a more theoretical perspective, youвЂ™ll measure the runtime complexity of the algorithms using Big O notation.

For a practical point of view, youвЂ™ll measure the runtime of the implementations using the timeit module.

This tutorial covers two different ways to measure the runtime of sorting algorithms:

#Complexity of the code snippit how to

Note: For a deeper dive into how PythonвЂ™s built-in sorting functionality works, check out How to Use sorted() and sort() in Python and Sorting Data With Python. For example, finding the element that appears most or least often is relatively straightforward with a sorted list.ДЇrom commercial applications to academic research and everywhere in between, there are countless ways you can use sorting to save yourself time and effort. For example, finding the k th-largest or smallest value, or finding the median value of the list, is much easier when the values are in ascending or descending order.Дuplicates: Finding duplicate values on a list can be done very quickly when the list is sorted.Дistribution: Analyzing the frequency distribution of items on a list is very fast if the list is sorted. 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

LetвЂ™s get started!ДЇree Download: Get a sample chapter from Python Tricks: The Book that shows you PythonвЂ™s best practices with simple examples you can apply instantly to write more beautiful + Pythonic code. More importantly, youвЂ™ll have a deeper understanding of different algorithm design techniques that you can apply to other areas of your work.

How to measure the efficiency of an algorithm using Big O notation and PythonвЂ™s timeit moduleД«y the end of this tutorial, youвЂ™ll understand sorting algorithms from both a theoretical and a practical standpoint.

How different computer science concepts like recursion and divide and conquer apply to sorting.

How PythonвЂ™s built-in sort functionality works behind the scenes.

How different sorting algorithms in Python work and how they compare under different circumstances.Understanding how sorting algorithms in Python work behind the scenes is a fundamental step toward implementing correct and efficient algorithms that solve real-world problems. ItвЂ™s related to several exciting ideas that youвЂ™ll see throughout your programming career. Sorting is a basic building block that many other algorithms are built upon. Watch it together with the written tutorial to deepen your understanding: Introduction to Sorting Algorithms in Python

Watch Now This tutorial has a related video course created by the Real Python team.