Why Python is called Interpreted Language?

Python is an Interpreted as well as Compiled language

Python is mostly an interpreted language, even though it consists of elements of each interpretation and compilation. Let’s explore Python’s execution model to understand why it is called an interpreted language:

Source Code

In Python, the supply code is written in undeniable textual content documents with a .Py extension. These documents incorporate human-readable code this is written the use of Python’s syntax and language features.

Lexical Analysis

When a Python script is finished, step one is lexical evaluation, also called tokenization. In this step, the interpreter reads the source code and breaks it down into character tokens, together with keywords, identifiers, operators, and literals. This procedure creates a chain of tokens that represent the shape of the code.

Parsing

After lexical evaluation, the interpreter performs parsing, which involves studying the series of tokens to determine the syntactic structure of the code. The parser exams whether the code conforms to the guidelines of the Python language grammar and constructs a parse tree or summary syntax tree (AST) representing the code’s structure.

Compilation to Bytecode

Once the parse tree is generated, the interpreter interprets it into an intermediate representation called bytecode. Bytecode is a low-degree, platform-unbiased representation of the source code this is executed by using the Python Virtual Machine (PVM). The compilation to bytecode is accomplished by the Python compiler, also known as the Python bytecode compiler.

Execution with the aid of the Python Virtual Machine (PVM):

The bytecode generated via the compiler is done with the aid of the Python Virtual Machine (PVM). The PVM is a runtime surroundings that interprets and executes Python bytecode. It consists of a bytecode interpreter, memory manager, garbage collector, and other additives chargeable for dealing with the execution of Python code.

Just-In-Time (JIT) Compilation:

In addition to interpretation, Python also carries elements of compilation thru Just-In-Time (JIT) compilation. JIT compilation is a way in which the interpreter dynamically compiles bytecode into local system code at runtime, optimizing overall performance for regularly done code paths. This allows Python to obtain a balance among the power of interpretation and the overall performance of compilation.