Interpreted Programming
Interpreted programming is a software execution model where source code is translated and executed line-by-line at runtime by an interpreter, without a separate compilation step into machine code. This contrasts with compiled languages, which are pre-processed into executable binaries before running. Interpreted languages often prioritize ease of use, rapid development, and platform independence.
Developers should learn interpreted programming for tasks requiring quick prototyping, scripting, web development, or cross-platform applications, as it allows for immediate feedback and easier debugging. It's particularly useful in domains like data science (e.g., Python), automation (e.g., Bash), and dynamic web content (e.g., JavaScript), where flexibility and iteration speed are key.