Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
Course 8713
Course Introduction:(Consult WeChat: phpcn01) The learning objectives of the front-end development part of the 22nd issue of PHP Chinese website: 1. HTML5/CSS3; 2. JavaScript/ES6; 3. Node basics; 4. Vue3 basics and advanced; 5. Mobile mall/ Website background homepage layout; 6. Automatic calculation of tabs/carousels/shopping carts...
Vue + Tailwind: Themeable profile page
2023-09-03 14:50:24 0 1 273
Post files and related data to RESTful WebService in JSON format
2023-08-20 13:47:10 0 2 277
An Nginx+PHP request processing problem is extremely slow, please help!
2019-04-19 14:32:18 0 1 1039
AppScan scans system vulnerabilities-cross-site request forgery
2018-11-15 17:41:11 0 0 2427
gcc - a classic interview question on C language under Linux
2017-06-26 10:59:11 0 2 704
Course Introduction:How to use JIT compilation to optimize the execution speed of Python programs 1. Introduction In Python programming, due to its interpretation and execution characteristics, the execution speed is often slow. In order to improve the performance of Python programs, a common method is to use just-in-time (JIT) technology. JIT can compile Python code into local machine code to accelerate code execution. 2. JIT compiler The JIT compiler is a dynamic compiler that generates source code when the program is running.
2023-08-04 comment 0 815
Course Introduction:Question: We have to write some Python programs every day, either to process some text, or to do some system management work. After the program is written, you only need to type the python command to start the program and start executing it: $pythonsome-program.py So, how is a .py file in text form converted into a machine that can be executed by the CPU step by step? What about instructions? In addition, .pyc files may be generated during program execution. What are the functions of these files? 1. Execution process Although Python looks more like an interpreted language such as Shell script in terms of behavior, in fact, the execution principle of Python program is essentially the same as that of Java or C#.
2023-05-09 comment 0 866
Course Introduction:How to use multi-threading to accelerate the execution of Python programs. With the development of computer hardware and the popularity of multi-core processors, the use of multi-threading technology can significantly improve the execution efficiency of programs. In Python, using multi-threading can better utilize the resources of multi-core processors and speed up program execution. This article will introduce how to use multi-threading to speed up the execution of Python programs and give corresponding code examples. 1. The concept of multi-threading Multi-threading means that multiple threads are executed simultaneously in a process. Each thread can run independently, but the process is shared.
2023-08-03 comment 0 1194
Course Introduction:With the continuous development of Python programming, developers often face a question: How to package their Python programs into independent executable files for easy sharing and deployment? This involves an important skill in PyCharm: packaging Python programs. This article will share some PyCharm programming tips and teach you how to use PyCharm to package Python programs into independent executable files. Preparation Before starting, make sure you have installed PyCharm and the required third party
2024-02-21 comment 0 138
Course Introduction:The ways to execute python source programs are: 1. Interpreter, such as [python D:/Code/Python/Hello.py]; 2. Interactive, run the interpreter directly in the terminal command line; 3. Integrated development environment, such as pycharm.
2020-06-12 comment 0 18445