Interpreted Languages

Interpreted languages are programming languages where code is executed line-by-line by an interpreter at runtime, without a separate compilation step into machine code. This contrasts with compiled languages, which are translated into machine code before execution. Examples include Python, JavaScript, and Ruby, which offer flexibility and ease of use for rapid development and scripting.

Also known as: Interpreted Programming Languages, Scripting Languages, Dynamic Languages, Non-compiled Languages, Runtime-interpreted Languages

Why learn Interpreted Languages?

Developers should learn interpreted languages for tasks requiring quick prototyping, web development, scripting, and automation, as they often have simpler syntax and faster development cycles. They are ideal for dynamic applications, data analysis, and environments where platform independence is crucial, such as in web browsers or cross-platform tools.

Learning Resources

• docs: MDN Web Docs: Interpreted Languages
• tutorial: GeeksforGeeks: Interpreted vs Compiled Programming Languages
• article: freeCodeCamp: What is an Interpreted Language?
• course: Coursera: Programming Languages, Part A
• video: YouTube: Compiled vs Interpreted Languages