php高级程序员面试题
欢迎进入Linux社区论坛,与200万技术人员互动交流 >>进入 1、php中单引号和双引号的区别,哪个速度更快?为什么?(考php基本功) 2、不用新变量直接交换现有两个变理的值。 (考php基本功) 3、PHP数字金额转大小格式,同时说明思路 (考数组掌握) 4、SQL
欢迎进入Linux社区论坛,与200万技术人员互动交流 >>进入
1、php中单引号和双引号的区别,哪个速度更快?为什么?(考php基本功)
2、不用新变量直接交换现有两个变理的值。 (考php基本功)
3、PHP数字金额转大小格式,同时说明思路 (考数组掌握)
4、SQL查询语句如下:
select * from table where (ID = 10) or (ID = 32) or (ID = 22) or (ID = 76) or (ID = 13) or (ID = 44)
让结果按10,32,22,76,13,44的顺序检索出来,请问如何书写? (sql能力)
5、简单写一个上传文件程序,要求同时上传文件数量可以人为控制 (逻辑能力)
6、php同时调用3个数据库中的一个表的信息(架设A.a.aid=B.b.bid=C.c.cid),请说明思路及书写部分代码
7、现有一IM软件,使用id、email做为注册条件,假设已注册1040人,有一zh_cn论坛,使用id、email做为注册条件,假设已注册200人,有一en_us论坛,使用id、email做为注册条件,假设已注册150人
要求:将三者同步,使用统一的注册流程 ,写出设计思路
8、 a. 写一句脚本,分析apache的access.log,得出访问量最高文件前5名 (Unix/Apache)
b. 创建一个数据库,里面有一张表(见后面),并将其授权给所有192.168.1.*网段的用户
表需求:每天文件访问情况,包括文件名、访问IP、访问时间、客户端浏览器名称,考虑
如何高效地查找每天什么时段访问量最高
c. 配置操作系统(FreeBSD/Linux),使其在开机进入操作系统后执行启动apache、mysql的脚本

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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.

The core benefits of PHP include ease of learning, strong web development support, rich libraries and frameworks, high performance and scalability, cross-platform compatibility, and cost-effectiveness. 1) Easy to learn and use, suitable for beginners; 2) Good integration with web servers and supports multiple databases; 3) Have powerful frameworks such as Laravel; 4) High performance can be achieved through optimization; 5) Support multiple operating systems; 6) Open source to reduce development costs.

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 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.

PHP is a server-side scripting language used for dynamic web development and server-side applications. 1.PHP is an interpreted language that does not require compilation and is suitable for rapid development. 2. PHP code is embedded in HTML, making it easy to develop web pages. 3. PHP processes server-side logic, generates HTML output, and supports user interaction and data processing. 4. PHP can interact with the database, process form submission, and execute server-side tasks.

PHP has shaped the network over the past few decades and will continue to play an important role in web development. 1) PHP originated in 1994 and has become the first choice for developers due to its ease of use and seamless integration with MySQL. 2) Its core functions include generating dynamic content and integrating with the database, allowing the website to be updated in real time and displayed in personalized manner. 3) The wide application and ecosystem of PHP have driven its long-term impact, but it also faces version updates and security challenges. 4) Performance improvements in recent years, such as the release of PHP7, enable it to compete with modern languages. 5) In the future, PHP needs to deal with new challenges such as containerization and microservices, but its flexibility and active community make it adaptable.

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.

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