Backend Development
Python Tutorial
How to use python applet? Summarize the usage of python applet examples
How to use python applet? Summarize the usage of python applet examples
source insight does not support utf-8. In order to support Chinese display, I wrote a python applet to convert all files in a directory from utf-8 to gbk. The code is as follows: #!/usr/local/bin /python # -*- coding: utf-8 -*- '''source insight does not support utf-8. In order to support Chinese display, I wrote this program to convert all files in a directory from utf-8 to gbkusage: chmod +x convert.py ./convert.py src mysrc ''' import os import shutil import re import sys
##1. Summary of commonly used file transcoding tools
Introduction: source insight does not support utf-8. In order to support Chinese display, I wrote a python applet to convert all files in a directory from utf-8 to gbk. The code is as follows:# !/usr/local/bin/python# -*- coding: utf-8 -*-'''source insight does not support utf-8, because Supports Chinese display, so this program is written to display a certain...
2. python applet: scissors, rock, cloth example code
Introduction: This article mainly introduces the python applet in detail: scissors, rock, cloth example code, which has certain reference value , interested friends can refer to
3. File transcoding gadget written in python
Introduction: source insight does not support utf-8. In order to support Chinese display, I wrote a python applet to convert all files in a directory from utf-8. The code is gbk The code is as follows: #!/usr/local/bin/python # -*- coding: utf-8 -*- ''' source insight does not support utf-8. In order to support Chinese display, the program will be written All files in a certain directory are transcoded from utf-8 to...
4. Python directory operation: python traverses the folder and stores the result as xml
Introduction: The requirement is to obtain certain types of files in a certain directory of the server. Considering that the server has both Linux and Windows, I wrote a Python small program to complete it. Please refer to this work for reference
5. Write a Python applet to count the keywords of the test script
Introduction: This article mainly introduces the method of writing Python small program to count the keywords of the test script. The examples in the article can not only count the number of keywords, but also classify them according to the main keywords. Friends in need can refer to the following
6. A small Python program to calculate the check digit of ID number
Introduction: Nothing to do, I just want to write a practical Python applet, how to calculate the check digit of an ID card number. There are a lot of articles like this on the Internet, so I’ll just briefly introduce them here
[Related Q&A recommendations]: windows-server - I have a Linux node IP, username and password, how to log in to the Linux environment? linux - Regarding detecting the CPU and GPU temperatures of Raspberry Pi, why are the two scripts circulating on the Internet different? windows-server - After logging into the remote desktop (windows desktop), how to run python programs in the Linux environment? "Application exception" memory error occurs when running python program? ######
The above is the detailed content of How to use python applet? Summarize the usage of python applet examples. 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
1677
14
1431
52
1334
25
1280
29
1257
24
Python vs. C : Learning Curves and Ease of Use
Apr 19, 2025 am 12:20 AM
Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.
Learning Python: Is 2 Hours of Daily Study Sufficient?
Apr 18, 2025 am 12:22 AM
Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python vs. C : Exploring Performance and Efficiency
Apr 18, 2025 am 12:20 AM
Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python vs. C : Understanding the Key Differences
Apr 21, 2025 am 12:18 AM
Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.
Which is part of the Python standard library: lists or arrays?
Apr 27, 2025 am 12:03 AM
Pythonlistsarepartofthestandardlibrary,whilearraysarenot.Listsarebuilt-in,versatile,andusedforstoringcollections,whereasarraysareprovidedbythearraymoduleandlesscommonlyusedduetolimitedfunctionality.
Python: Automation, Scripting, and Task Management
Apr 16, 2025 am 12:14 AM
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.
Python for Scientific Computing: A Detailed Look
Apr 19, 2025 am 12:15 AM
Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.
Python for Web Development: Key Applications
Apr 18, 2025 am 12:20 AM
Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
