关于PHP一点疑惑
我上了个培训班用了 3个半月的时间学了PHP,老师讲了很多PHP+MYSQL+smarty+html+css+javascript+jquery+thinkphp+memcached+AJAX这样就算毕业了
个人觉得懂了点知识也能编写出一些网页但现在去面试的时候前面问关于PHP与MYSQL都回答出来了,但关于Jquery一些动画效果一个也没答出来,你比如我希望网站图片动态旋转,网站登陆后突然出现一些动画效果这些都是怎么实现的,这些我都不会,然后面试失败了。今天面试3家最后都卡在JQUERY上,我当初学JQUERY主要学了选择器,DOM动态添加节点,事件驱动与AJAX相结合。老师讲的也不深入,老师说知道与AJAX相结合怎么用就行了。
我现在的困惑是,我个人认为JQUERY他属于前端语言,根本就不再服务器执行。那招聘PHP程序员为什么还要问JQUERY关于前端动画实现的效果?是不是我学习的还不够深入?关于JQUERY的动画效果我上网查了查太多了,这要是一个个学习,根本完成不了。能不能有个链接或者教程之类的,专门讲动画效果,类似MVC思想,这种效果。
对于PHP程序员来说JQUERY的动态效果重要吗?如果真的很重要JQUERY这种动画效果怎么深入学习?我现在除了运用
$('#id')来修改下CSS,和AJAX相关联别的都不会。。
------解决思路----------------------
说点个人见解 抛砖引玉
首先PHP这个语言应用的领域主要是做网站 这一点和JAVA这些不太一样. PHP更少的关注底层的一些存储,算法之类的 相应的要多关注一些前端的和网络的东西
其次,很多公司尤其是小公司,没有将做网站的岗位细分的财力和必要,往往是一个PHP程序员就做顶梁柱了,从架构到数据库设计,到后台开发到前端开发,因此这种情况下对PHP程序员的前端水平也有一些要求
第三,涉猎是否广,也是很多面试官的关注点(不讨论是否有道理).如果问几个问题你不了解 那自然觉得不靠谱.
最后说说你现在的情况. 从培训班出来,只是打了个基础,继续学习是必须的.jquery的一些特效,首先是要有所了解,其次你可以往插件上推啊.要求什么效果你说这个可以用jquery插件实现,网上一搜一大把,肯定能给你实现的
总之打铁还需自身硬,多学习.成长起来以后就好多了.
加油

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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