


How to implement multiple JavaScript effects in the same web page_javascript skills
The example in this article describes how to implement multiple JavaScript effects in the same web page. Share it with everyone for your reference. The specific analysis is as follows:
Generally speaking, if the tag appears twice on a web page, all JavaScript scripts will no longer take effect and can only appear once tag, however, multiple JavaScript effects are often needed in the same web page.
1. Basic goals
Mount two JavaScript clocks in the web page, one of which is a normal time that runs once every 1 second, and the other is an abnormal clock that only runs once every 3 seconds, just to distinguish and illustrate the same web page. How to implement multiple JavaScript effects. The effect is as shown below:
2. Production process
Method 1:
Document.getElementById("clock").innerHTML = time;
}
setInterval("clock()", 1000);
Just write type directly in <script> instead of writing type. However, this method has a certain delay. The special effects are loaded one by one. If there are too many special effects, the effect will not be good. </script>
But the neatness and intuitiveness of coding completely beat the above method.
The code is as follows:
<script> <br /> function clocka() { <br /> var time = new Date().toLocaleString(); <br /> document.getElementById("clocka").innerHTML = time; <br /> } <br /> function clockb() { <br /> var time = new Date().toLocaleString(); <br /> document.getElementById("clockb").innerHTML = time; <br /> } <br /> </script>
<script> <br /> setInterval("clocka()", 1000); <br /> </script>
<script> <br /> setInterval("clockb()", 3000); <br /> </script>
希望本文所述对大家的javascript程序设计有所帮助。

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Both Python and JavaScript's choices in development environments are important. 1) Python's development environment includes PyCharm, JupyterNotebook and Anaconda, which are suitable for data science and rapid prototyping. 2) The development environment of JavaScript includes Node.js, VSCode and Webpack, which are suitable for front-end and back-end development. Choosing the right tools according to project needs can improve development efficiency and project success rate.

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Python is more suitable for data science and automation, while JavaScript is more suitable for front-end and full-stack development. 1. Python performs well in data science and machine learning, using libraries such as NumPy and Pandas for data processing and modeling. 2. Python is concise and efficient in automation and scripting. 3. JavaScript is indispensable in front-end development and is used to build dynamic web pages and single-page applications. 4. JavaScript plays a role in back-end development through Node.js and supports full-stack development.

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