Course Elementary  20606

Course Introduction：Starting from scratch, we take the modular practical development of a very large CMS website management system as a learning guide to learn and flexibly master various knowledge points involved in PHP development.

Course Elementary  20061

Course Introduction：The front-end development part of the ninth phase uses PHPCN UI as a practical development project. Learning objectives: 1. Be able to complete the layout of the front-end and back-end of the website; 2. Be able to optimize and upgrade the code of the front-end and back-end; 3. Realize the website special effects of the front-end and back-end. ;

Course Elementary  11069

Course Introduction：Practical projects in this issue: 1. Super large CMS system development (Laravel implementation), 2. CMS article system; 4. Youdao Cloud Notes + Short Books; 5. CMS e-commerce system. After completing this course, you can develop any website!

Course Elementary  10964

Course Introduction：WeChat Mini Program provides a simple and efficient application development framework and rich components and APIs to help developers develop services with native APP experience in WeChat. This course introduces the development language, framework, capabilities, debugging, etc. of mini programs in detail, helping developers quickly and comprehensively understand all aspects of mini program development.

Course Introduction：Since the launch on August 22, 2024, the new smartphones from the Google Pixel 9 series have revealed both strengths and weaknesses. While the new Tensor G4 chip underperformed in early benchmarks and lacked impact in gaming tests, the Pixel 9 Pro XL

2024-08-29 comment 0  1158

Course Introduction：As confusing as it may sound, AMD's newest Ryzen AI 9 HX 370 chip has shown up bigtime in leaked benchmarks. In Geekbench's CPU test, it could trade blows with the last-gen Ryzen 9 7945HX, which is impressive for pre-production silicon. Handheld cons

2024-06-18 comment 0  1121

Course Introduction：Reference News Network reported on September 23. According to TASS news agency reported on September 19, Russian scientists have developed a machine learning system that can identify defects in solar cell structural units. The artificial intelligence (AI) technology is also able to identify errors in the production process that are most likely to lead to defects. According to a report from the Press Office of the Institute of Artificial Intelligence on the 19th, the software package has been tested in actual production. "The result of the joint efforts of the team was the successful industrial testing of the system during actual production at the Novchebok-Sarskhevel plant. When two or more images are detected during the sorting stage," the report said , when there are similar defects with similar positioning, the system will notify the factory in real time of the nodes in the production line equipment that are most likely to be related to the discovered defects." By Xie Miao·

2023-09-23 comment 0  749