How to implement heap sort in python (code example)
The content of this article is about how to implement heap sorting in python (code example). It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
Heap sort
Heap sort refers to a sorting algorithm designed using the data structure of a heap. Stacking is a structure that approximates a complete binary tree, and at the same time satisfies the properties of stacking: that is, the key value or index of a child node is always smaller than (or larger than) its parent node (but there is no guarantee that all left subtrees are smaller than the right subtree, and vice versa. Also). Heap sort can be said to be a selection sort that uses the concept of heap to sort. Divided into two methods:
Big top heap: the value of each node is greater than or equal to the value of its child node, used in ascending order in the heap sorting algorithm;
Small top heap : The value of each node is less than or equal to the value of its child node, used in descending order in the heap sort algorithm;
The average time complexity of heap sort is Ο(nlogn).
Algorithm steps
1. Create a heap H[0...n-1]; (**Adjust the child nodes of non-leaf nodes to build a heap **)
2. Swap the head of the heap (maximum value) and the tail of the heap;
3. Reduce the size of the heap by 1 and call shift_down(0). The purpose is to convert the new Adjust the data at the top of the array to the corresponding position;
4. Repeat step 2 until the heap size is 1.
Python code implementation
def buildMaxHeap(arr): import math for i in range(math.floor(len(arr)/2),-1,-1):#构建堆由下往上构建所以用-1 heapify(arr,i) def heapify(arr, i): left = 2*i+1 right = 2*i+2 largest = i if left < arrLen and arr[left] > arr[largest]: largest = left if right < arrLen and arr[right] > arr[largest]: largest = right if largest != i: swap(arr, i, largest) heapify(arr, largest) def swap(arr, i, j): arr[i], arr[j] = arr[j], arr[i] def heapSort(arr): global arrLen arrLen = len(arr) buildMaxHeap(arr) for i in range(len(arr)-1,0,-1): swap(arr,0,i) arrLen -=1 #每次踢掉求出的最大值 heapify(arr, 0) return arr
The above is the detailed content of How to implement heap sort in python (code example). For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.
