Explanation of Python Inner working
<ol>
<li>High-Level Language : Python is a high-level, interpreted language, meaning you write code in a human-readable form, and Python takes care of translating it into machine code.
</li>
<li>Python Interpreter :
<ol>
<li>Your Python code (.py file) is fed to the Python interpreter.
</li>
<li>The interpreter works in two steps :
<ol>
<li>Compilation: Converts your Python code into bytecode (a lower-level language stored as .pyc files).
</li>
<li>Execution: The bytecode is executed by the Python Virtual Machine (PVM).
</li>
</ol>
</li>
</ol>
</li>
<li>Dynamic Typing : Python doesn't need you to define variable types. It decides the type of a variable during runtime.
</li>
<li>Memory Management :
<ol>
<li>Python uses a built-in garbage collector to automatically manage memory.
</li>
<li>It clears out unused objects to free up memory.
</li>
</ol>
</li>
<li>Modules and Libraries : Python uses a huge collection of pre-built modules and libraries to speed up development.
</li>
<li>Interpreter Variants :
<ol>
<li>CPython (default) : Written in C.
</li>
<li>Jython : For Java.
</li>
<li>PyPy : A faster implementation using JIT (Just-In-Time) compilation.
</li>
</ol>
</li>
<li>Portability : Python is platform-independent; code written on one system works on others with the same interpreter.
</li>
</ol>

Explanation of Python Inner working

1. High-Level Language : Python is a high-level, interpreted language, meaning you write code in a human-readable form, and Python takes care of translating it into machine code.
    
2. Python Interpreter :
    
    1. Your Python code (.py file) is fed to the Python interpreter.
        
    2. The interpreter works in two steps :
        
        1. Compilation: Converts your Python code into bytecode (a lower-level language stored as .pyc files).
            
        2. Execution: The bytecode is executed by the Python Virtual Machine (PVM).
            
3. Dynamic Typing : Python doesn't need you to define variable types. It decides the type of a variable during runtime.
    
4. Memory Management :
    
    1. Python uses a built-in garbage collector to automatically manage memory.
        
    2. It clears out unused objects to free up memory.
        
5. Modules and Libraries : Python uses a huge collection of pre-built modules and libraries to speed up development.
    
6. Interpreter Variants :
    
    1. CPython (default) : Written in C.
        
    2. Jython : For Java.
        
    3. PyPy : A faster implementation using JIT (Just-In-Time) compilation.
        
7. Portability : Python is platform-independent; code written on one system works on others with the same interpreter.

Simple Explanation of Python Inner working