Course2857
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.
Course1795
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
Course5521
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. .....
Course5172
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.
Course8713
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 3/Nuxt 3 scoped slots with generic data types inferred from props
I want to implement a carousel component in Nuxtv3. This component receives a list of items. This component only implements logic, not style or structure. Now this is my component: components/tdx/carousel.vue 2023-11-02 21:59:05 0 1 357 Optional module intl is not installed or is disabled 2023-10-31 10:35:24 0 1 257 Nuxt `defineProps` from TypeScript types 2023-10-30 11:35:06 0 1 334 Android HttpUrlConnection not working 2023-10-23 20:44:21 0 1 293 JavaScript set object key via variable 2023-10-09 12:00:10 0 2 229 Course Introduction:PHP study notes: Recommendation system and personalized recommendations, specific code examples are required Introduction: In today's Internet era, recommendation systems have become one of the important functions of many websites and applications. By using machine learning and data mining technologies, recommendation systems can recommend the most relevant content and products to users based on their behavior and interests, improving user experience and website interactivity. Personalized recommendation is an important algorithm of the recommendation system, which can customize personalized recommendation results based on the user's preferences and historical behavior. The basic principles of recommendation system 2023-10-09
comment 0922 Course Introduction:Golang implements recommendation: from machine learning to recommendation system Recommendation system has become an indispensable part of today's Internet applications. Its function is to provide users with personalized recommendation services based on their historical behaviors and preferences, thereby improving user satisfaction and retention rates. Whether it is e-commerce, social networking, video or music, they all need the support of recommendation systems. So, how to use Golang to implement a recommendation system? First of all, we need to clarify a concept: the recommendation system is essentially a machine learning problem. Therefore, when using Golang to implement push 2023-04-03
comment 0583 Course Introduction:How to implement recommendation systems and personalized recommendations in UniApp Recommendation systems are widely used in modern Internet applications, including personalized recommendations. As a cross-platform mobile application development framework, UniApp can also implement recommendation systems and personalized recommendation functions. This article will introduce in detail how to implement the recommendation system and personalized recommendations in UniApp, and provide specific code examples. Recommendation systems are an important part of providing personalized services to users. It can provide users with information based on their historical behavior, user portraits and other information. 2023-10-20
comment 0965 Course Introduction:With the continuous development of e-commerce and social media, recommendation systems and personalized recommendations have attracted more and more attention. They have played an important role in improving user experience and increasing user retention. So how to develop recommendation systems and personalized recommendations in PHP? here we come to find out. The concept of recommendation system and personalized recommendation A recommendation system is a system that analyzes user behavior, interests, needs and other information to mine content or products that users may be interested in from massive data and make personalized recommendations. Recommendation systems can roughly 2023-05-20
comment 01275 Course Introduction:With the continuous development of Internet technology and the continuous improvement of user needs, more and more websites and APPs have begun to provide personalized recommendation services to meet the growing needs of users. In this context, content recommendation technology has become one of the most promising research fields in the 20th century, attracting great attention from practitioners in many fields. Among them, recommendation algorithms and recommendation systems are two important research directions in the field of content recommendation. The recommendation algorithm mainly solves the problem of how to use the user's historical behavior data and item information to make personalized recommendations to the user; the recommendation system is composed of the recommendation algorithm, recommendation 2023-05-10
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