Explore the key differences in how these language processors work. Select a processor below to see its unique workflow.
Interpreter Workflow
What is an Interpreter?
An **interpreter** translates and executes source code one line at a time. It reads a statement, converts it into machine code, and then immediately runs it before moving on to the next statement. This process is repeated for the entire program.
This method allows for very fast debugging and code changes because you don’t have to wait for the entire program to be compiled. However, since the code is being translated during execution, interpreted programs are generally slower than compiled ones.
A good analogy is a **simultaneous translator** at a conference. They listen to a sentence in one language and immediately translate it to the audience in another language, without waiting for the speaker to finish their entire speech.
Examples: Python, JavaScript, and Ruby are commonly interpreted languages.
Difference Between Assembler, Interpreter, and Compiler
| Feature | Assembler | Interpreter | Compiler |
|---|---|---|---|
| Translation Method | Converts assembly code to machine code | Converts high-level code to machine code line by line | Converts the entire high-level code to machine code at once |
| Execution | Generates executable machine code | Executes code directly | Generates an executable file |
| Speed of Execution | Fast (machine code runs directly) | Slower (interprets line by line) | Fast (after compilation) |
| Error Detection | Detects errors in assembly code | Detects errors line by line during execution | Detects errors after full compilation |
| Storage | Requires storage for machine code | Does not store machine code | Requires storage for compiled code |
| Use Case | System programming, embedded systems | Scripting, dynamic environments | Production-level applications, high-performance scenarios |
| Example Languages | Assembly Language | Python, Ruby | C, C++, Java |