Server Side Scripting

Server-side scripting is a technique to develop websites where the code runs on the server instead of the user's computer. Thus, this makes websites faster and more secure by handling things like managing data and checking user input on the server. The prime advantage of server-side scripting is that it can manage big tasks, like working with databases, directly on the server. Hence, this keeps important data safe since it’s not shared with the user. It also makes the user’s device work less because the server does most of it. The website can also show personalized content, enhancing the user experience.

PHP, Python, JavaScript, and Node.js are some of the leading server-side scripting languages. PHP is known for its ease of learning and common use in web development. On the contrary, Python is a great option for beginners because it is quick and simple to learn. Programmers can run JavaScript on the server with Node.js. As such, this speeds the development process by enabling them to use the same language for a website's front and back ends. Developers often use frameworks to simplify their work. For example, Laravel allows PHP developers to build websites more quickly, Django is a popular framework for Python, and Ruby on Rails serves as a common framework for developing websites with Ruby.


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Recently Asked Questions

PHP is a server-side scripting language designed for web development but also used as a general-purpose programming language.PHP is a server-side scripting language designed for web development but also used as a general-purpose programming language.

Python has a variety of libraries such as NumPy, pandas, and matplotlib that make it an ideal language for data analysis and visualization.

Java is commonly used for building enterprise-scale applications.


Interview Questions And Answers

PHP is a server-side scripting language designed for web development but also used as a general-purpose programming language.PHP is a server-side scripting language designed for web development but also used as a general-purpose programming language.

Python has a variety of libraries such as NumPy, pandas, and matplotlib that make it an ideal language for data analysis and visualization.

Java is commonly used for building enterprise-scale applications.