PHP-For-Go-Web 是用 php+bootstrap3 来解析《Go Web 编程》的 md 文件。构建本地或者远程网站。妈妈再也不用担心我的网速了。
从https://github.com/astaxie/build-web-application-with-golang/tree/master/zh 获取md文件
从https://github.com/erusev/parsedown 获取 Markdown 格式数据的 PHP 解析类库
使用 PHP 解析得到 html 数据
使用 Bootstrap 显示最终的html页面
我不生产代码,我是代码的搬运工!展示站点:http://go.webiji.com
安装配置
[ Apache ]
httpd.conf配置文件中加载了mod_rewrite.so模块AllowOverride None 将None改为 All把下面的内容保存为.htaccess文件放到应用入口文件的同级目录下<IfModule mod_rewrite.c> RewriteEngine on RewriteCond %{REQUEST_FILENAME} !-d RewriteCond %{REQUEST_FILENAME} !-f RewriteRule ^(.*)$ index.php?file=$1 [QSA,PT,L]</IfModule>
本项目在wampserver下开发并且通过测试。建议使用wampserver环境。
[ IIS ]
如果你的服务器环境支持ISAPI_Rewrite的话,可以配置httpd.ini文件,添加下面的内容:
RewriteRule (.*)$ /index\.php\?file=$1 [I]
[ Nginx ]
通过在Nginx.conf中配置转发规则实现:
location / { // …..省略部分代码 if (!-e $request_filename) { rewrite ^(.*)$ /index.php?file=$1 last; break; } }
如果你的项目安装在二级目录,Nginx的伪静态方法设置如下,其中goweb是所在的目录名称。
location /goweb/ { if (!-e $request_filename){ rewrite ^/goweb/(.*)$ /goweb/index.php?file=$1 last; }}
项目主页:http://www.open-open.com/lib/view/home/1446558564638

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.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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