PHP中有许多与文件系统有关的函数,这些函数不仅可以打开文件,还可以显示目录中的内容、移动文件和其他一些功能,许多人甚至用PHP开发基于互联网的文件资源管理器。
下面的脚本样例可以显示一个目录清单,注释已经包含在代码中:
<? /把要读取的目录的全路径名存入一个名字为$dir_name的变量中。/
$dir_name = "/home/me/";
/ 创建一个句柄,其值是打开一个给定目录的结果/
$dir = opendir($dir_name);
/ 建立一个文字块,用以放置列表元素(文件名字)/
$file_list = "<ul>";
/ 使用一个while语句,读取已经打开的目录中的所有元素,如果文件的名字不是“.”或“..”,则显示列表中的名字/
while ($file_name = readdir($dir)) {
if (($file_name != ".") &&&& ($file_name != "..")) {
$file_list .= "<li>$file_name";
}
}
$file_list .= "</ul>";
/关闭打开的目录,结束PHP模块/
closedir($dir);
?>
<!-- Start your HTML -->
<HTML>
<HEAD>
<TITLE>Directory Listing</TITLE>
</HEAD>
<BODY>
<!-- Use PHP to print the name of the directory you read -->
<P>Files in: <? echo "$dir_name"; ?></p>
<!-- Use PHP to print the directory listing -->
<? echo "$file_list"; ?>
</BODY>
</HTML>
好了,我们已经得到了一个目录清单。需要注意的是,要读取一个文件(稍后我们将进行讲解)或目录的内容,PHP运行的系统上的用户必须至少有读取文件的权限。
下面是一个如何拷贝文件的例子:
<? /把你要拷贝的源文件的全路径赋给一个名字为$original的变量中,把拷贝的文件的全路径赋予一个名字为$copied的变量中/
$original = "/home/me/mydatabasedump";
$copied = "/archive/mydatabasedumo_1010";
/ 使用copy()函数拷贝源文件,如果拷贝没有完成则会显示一个错误信息/
@copy($original, $copied) or die("Couldn"t copy file.");
?>
这个例子是一个文件备份系统的原型。在这段脚本运行时,它把文件拷贝到一个不同的位置进行保存。稍微修改一下守护程序,就可以在一天中你指定的时刻执行它,而无需用户的干预。
摘自:中国BS网
作者:邱宗英

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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