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...
Why do so many JavaScript scripts append random numbers to things? collision?
2023-11-04 20:00:04 0 2 296
How to build cross database query in PHP?
2023-10-22 11:40:00 0 2 311
What is the way to get the client's IP address in ASP.NET MVC?
2023-10-14 09:01:56 0 2 220
Password hashing and verification using PHP's password_hash function
2023-10-13 23:55:11 0 2 260
A step-by-step guide to password hashing and verification using PHP's password_hash
2023-10-13 22:56:31 0 2 246
Course Introduction:Use Python to solve problems such as limits, derivatives, partial derivatives, definite integrals, indefinite integrals, and double integrals in advanced mathematics. Sympy is a Python scientific computing library that aims to become a fully functional computer algebra system. SymPy includes functions from basic symbolic arithmetic to calculus, algebra, discrete mathematics and quantum physics.
2021-03-19 comment 0 3526
Course Introduction:Does learning JavaScript require a lot of math? JavaScript is a scripting language widely used in web development, game development, and mobile application development. It allows developers to build dynamic web pages and applications that have better user interactivity and remain interactive with users on the Internet. When learning and using JavaScript, many people may worry about whether their math level is high enough because there are many math-related operations in JavaScript, such as
2023-05-20 comment 0 185
Course Introduction:Overview of Data Science and Machine Learning Data science is the discipline of obtaining insights through various forms of analysis of data. It involves collecting data from multiple sources, cleaning the data, analyzing the data, and visualizing the data in order to draw useful conclusions. The purpose of data science is to transform data into useful information to better understand trends, predict the future, and make better decisions. Machine learning is a branch of data science that uses algorithms and statistical models to automatically learn patterns from data and make predictions. The goal of machine learning is to build models that can make accurate predictions based on previously unseen data. In machine learning, training a model using the training set data and then evaluating the accuracy of the model using the test set data by dividing the data into a training set and a test set
2023-05-18 comment 0 884
Course Introduction:PHP Study Notes: Scientific Computing and Numerical Simulation Introduction: Driven by today's technological trend, scientific computing and numerical simulation play an important role in academic research and engineering practice. As a powerful programming language, PHP can not only be used for website development and data processing, but also for scientific computing and numerical simulation. This article will briefly introduce the basics of scientific computing and numerical simulation in PHP and provide specific code examples. 1. Basics of Scientific Computing Introducing Mathematical Libraries To use PHP for scientific calculations, you first need to introduce mathematical functions.
2023-10-08 comment 0 1071
Course Introduction:Methods to learn big data: 1. Master a computer programming language, such as java. When learning java, you also need to learn JDBC and database, java web technology, SpringMVC, etc. 2. Learn big data, including introduction to big data technology, advanced analysis language for massive data, etc.
2020-05-11 comment 0 3872