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php开发之变量

WBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWBOYWB

Jun 23, 2016 pm 01:38 PM

环境已经搭建好了，下面就可以愉快的coding了，变量在php用到的还是比较多的，下面就介绍一些php变量的命名的一些规则：

1，所有的变量名必须以美元符号（$)开头

2，再美元符号后面的第一个字符必须为字母(A~Z,a~z) 或者下划线( _ ),不能使用数字

3，变量名剩下的部分可以包含任何数量饿字母，数字和下划线的组合

4，变量名中不能出现空格 (通常使用下划线进行文字分割)

5，变量名必须唯一

6，变量名是区分大小写的！，这意味着$varible 和$Varible是截然不同的两个变量，因此两个变量进行如此相似的命名是非常的不理智的

另外还有一些建议可以减少由于变量的命名而引起的bug

1，变量名全部使用小写字母

2，让变量名具有描述性，尽量见其名知其意

3，使用注释来说明变量的用途

4，最重要的，要保持一致的变量名

变量说完了，咱们一块学习下，双引号和单引号的区别吧，双引号和单引号的最大的区别是，双引号内的内容可以被替换，而单引号内的内容不能够被替换，

代码如下：

<?php $string = 'abcdefg'; $result1 ='$string'; $result2 ="$string"; echo $result1;echo "************"; echo $result2; ?>

运行结果如下：

<img src="/static/imghwm/default1.png" 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" class="lazy" alt="">

大家可以看到￥result1的结果是$string的字符，而不是这个变量的内容，￥result2 的内容是$string的内容。

可能大家觉得这些东西很简单，也很容易记忆，但是作为一个coder来说，小的知识点，小的程序有的时候对你学习一门心得语言有队很大的鼓励促进作用哦

Kenyataan

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mPDF

mPDF ialah perpustakaan PHP yang boleh menjana fail PDF daripada HTML yang dikodkan UTF-8. Pengarang asal, Ian Back, menulis mPDF untuk mengeluarkan fail PDF "dengan cepat" dari tapak webnya dan mengendalikan bahasa yang berbeza. Ia lebih perlahan dan menghasilkan fail yang lebih besar apabila menggunakan fon Unicode daripada skrip asal seperti HTML2FPDF, tetapi menyokong gaya CSS dsb. dan mempunyai banyak peningkatan. Menyokong hampir semua bahasa, termasuk RTL (Arab dan Ibrani) dan CJK (Cina, Jepun dan Korea). Menyokong elemen peringkat blok bersarang (seperti P, DIV),

SecLists

SecLists ialah rakan penguji keselamatan muktamad. Ia ialah koleksi pelbagai jenis senarai yang kerap digunakan semasa penilaian keselamatan, semuanya di satu tempat. SecLists membantu menjadikan ujian keselamatan lebih cekap dan produktif dengan menyediakan semua senarai yang mungkin diperlukan oleh penguji keselamatan dengan mudah. Jenis senarai termasuk nama pengguna, kata laluan, URL, muatan kabur, corak data sensitif, cangkerang web dan banyak lagi. Penguji hanya boleh menarik repositori ini ke mesin ujian baharu dan dia akan mempunyai akses kepada setiap jenis senarai yang dia perlukan.