smarty是鸡肋,smarty是鸡肋,smarty是鸡肋,smarty是鸡肋 !
演了一回标题党,抱歉,希望进来的人告诉我: 你错了!
-- 不开 cache , 光读编译好的模板, 里面大多数是echo输出, 性能提升上就少了不做数组循环
-- 如果开了, 那干脆把要cache的页面全静态, 这比它更效率, 省了读取的时间
-- 另外, 看到很多框架都不用模板替换的, 这就少了编译和替换那部份工序, 如果要cache就直接将输出内容生成html或用其它方式保存在硬盘上,
所以一直对smarty性能有点发挥不上来, 但弃之可惜的感觉,
... 等候高手发言
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没明白是什么意思。
------解决方案--------------------
smarty是不是鸡肋?
仁者见仁,智者见智
只有用的人才知道,反正我不用
作为模板引擎,目的就是减少开发时的工作量,或称提高开发效率
任何模板引擎都如是
至于运行效率,那肯定是要打折扣的
------解决方案--------------------
哎
接分算了
------解决方案--------------------
用到过一些
------解决方案--------------------
smarty 啊。用过
------解决方案--------------------
cache的页面全静态 缓存刷新你怎么控制啊?如果你页面生成后就不要动了.用什么引擎都一样?
是不是复杂一些?
------解决方案--------------------
我不用 smarty ,并不是不用模板引擎
我有一个自己开发的“拉”式编译型模板引擎,很简单、很有效。
与我的工具箱配合使用好几年了。
------解决方案--------------------
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我也从来没用过smarty,因为刚用php的时候就用了另外一个模板,修修改改就成自己的了。
两个文件,源代码包括注释不足30K
------解决方案--------------------
没用过,不知道
------解决方案--------------------
用模板是为了加快开发,运行时的效率肯定是要打折扣的。
如果说代码的运行相当于商品质量,那么开发的时间就相当于花费,很显然用smarty并不能得到质量最好的,但是能得到性价比最高的。
------解决方案--------------------
我是来接分的
------解决方案--------------------
PHP就是最好的模板
------解决方案--------------------
具体情况具体对待,顺便接分了啊
------解决方案--------------------
如果觉得速度不行,那么自己改吧,把一些不要的东西去掉,速度就来了。至于cache,有能力就自己写吧。它是开源的嘛!没有必要这样较劲。
------解决方案--------------------
pull~~~ push
------解决方案--------------------
你不会用就说人家不好。
------解决方案--------------------
帮顶。接分,学习

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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