Basically, all scripting languages are considered to be programming languages. The main difference between the two is that programming languages are compiled, whereas scripting languages are interpreted.
Scripting languages are slower than programming languages and usually sit behind them. Since they only run on a subset of the programming language, they have less access to a computer’s local abilities.
Python can be called a scripting language as well as a programming language since it works both as a compiler and an interpreter. A standard Python can compile Python code into bytecodes and then interpret it just like Java and C.
However, considering the historical relationship between the general purpose programming language and the scripting language, it will be more appropriate to say that Python is a general-purpose programming language which works nicely as a scripting language too.
Applications of Scripting Languages :
1. To automate certain tasks in a program
2. Extracting information from a data set
3. Less code intensive as compared to traditional programming languages
Who this course is for:
Beginner Python Developers
Python Script Developers
By the end of the course, you will have the following skill sets:
Creating Console Applications
Understanding Python Basics
Features of Python
Installation of Python
Writing Programs in PyCharm
The Python Interpreter
The Interpreter is a layer of software that works as a bridge between the program and the system hardware to keep the code running. A Python interpreter is an application which is responsible for running Python scripts.
The Python Interpreter works on the Read-Eval-Print-Loop (REPL) environment.
Reads the command.
Evaluates the command.
Prints the result.
Loops back and process gets repeated.
The interpreter terminates when we use the exit() or quit() command otherwise the execution keeps on going.
A Python Interpreter runs code in two ways—
In the form of a script or module.
In the form of a piece of code written in an interactive session.