apache无法解析php的有关问题
apache无法解析php的问题
搞了三四天了,快要疯掉了,小女子在这里请教大家如何配置
下面是我修改的配置文件,php的目录是C:\php,php的ini文件也改好了
apache也已经修改了
LoadModule php5_module "C:/php/php5apache2_2.dll"
DirectoryIndex index.php index.html
AddType application/x-httpd-php .php .phtml
AddType application/x-httpd-php-source .phps
PHPIniDir "C:/php"
------解决方案--------------------
下个文件比较工具(BeyondCompare,UltraCompare之类),
把AppServ 目录和你的apache及php目录对比,
马上就能找到差别了呀.
另外,我提供一个免安装的绿色服务器,刚打的包,
在我的资源里面:
http://download.csdn.net/detail/guilyn/4214864
你试试Win7下好不好用,:)

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











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

IIS and PHP are compatible and are implemented through FastCGI. 1.IIS forwards the .php file request to the FastCGI module through the configuration file. 2. The FastCGI module starts the PHP process to process requests to improve performance and stability. 3. In actual applications, you need to pay attention to configuration details, error debugging and performance optimization.

Multiple calls to session_start() will result in warning messages and possible data overwrites. 1) PHP will issue a warning, prompting that the session has been started. 2) It may cause unexpected overwriting of session data. 3) Use session_status() to check the session status to avoid repeated calls.

NGINX and Apache each have their own advantages and disadvantages, and the choice should be based on specific needs. 1.NGINX is suitable for high concurrency scenarios because of its asynchronous non-blocking architecture. 2. Apache is suitable for low-concurrency scenarios that require complex configurations, because of its modular design.

Laravel optimizes the web development process including: 1. Use the routing system to manage the URL structure; 2. Use the Blade template engine to simplify view development; 3. Handle time-consuming tasks through queues; 4. Use EloquentORM to simplify database operations; 5. Follow best practices to improve code quality and maintainability.

AI can help optimize the use of Composer. Specific methods include: 1. Dependency management optimization: AI analyzes dependencies, recommends the best version combination, and reduces conflicts. 2. Automated code generation: AI generates composer.json files that conform to best practices. 3. Improve code quality: AI detects potential problems, provides optimization suggestions, and improves code quality. These methods are implemented through machine learning and natural language processing technologies to help developers improve efficiency and code quality.
