Final answer:
It's generally true that interpreted programs like those written in Python are easier to build, test, and debug than compiled programs such as C or C++. This advantage comes from features like less boilerplate code and real-time feedback during development. However, compiled programs often have faster execution times post-compilation.
Step-by-step explanation:
The statement that interpreted programs, such as Python programs, are easier to build, test, and debug than compiled programs like those written in C or C++ is generally considered True. Interpreted languages such as Python often require less boilerplate code, enable dynamic typing, and offer real-time testing without the need to compile code after every change. These features make the development process faster and debugging simpler as errors are displayed immediately.
Compiled languages like C and C++ convert code to machine language before running it, which can make the debugging process more time-consuming because you must recompile your program every time you make changes. However, compiled programs usually run faster than interpreted ones, since they are directly executed by the target platform's machine code after compilation.