Indentation in Python is compulsory and is part of its syntax.

All programming languages have some way of defining the scope and extent of the block of codes. In Python, it is indentation. Indentation provides better readability to the code, which is probably why Python has made it compulsory.

Python provides you with a much needed functionality of converting one form of data type into the  needed one and this is known as type conversion.

Type Conversion is classified into types:

1.Implicit Type Conversion: In this form of Type conversion python interpreter helps in automatically converting the data type

Local variable : Any variable declared inside a function is known as Local variable and it’s accessibility remains inside that function only.

Global Variable : Any variable declared outside the function is known as Global variable and it can be easily accessible by any function present throughout the program.

Python supports the below-mentioned built-in data types:

Immutable data types:

• Number
• String
• Tuple

Mutable data types:

• List
• Dictionary
• set

Equivalent to constructors in OOP terminology, __init__ is a reserved method in Python classes. The __init__ method is called automatically whenever a new object is initiated. This method allocates memory to the new object as soon as it is created. This method can also be used to initialize variables.

A scope is a block of code where an object in Python remains relevant.Each and every object of python functions within its respective scope.As Namespaces uniquely identify all the objects inside a program but these namespaces also have a scope defined for them where you could use their objects without

As Python follows an object-oriented programming paradigm, classes in Python have the ability to inherit the properties of another class. This process is known as inheritance. Inheritance provides the code reusability feature . The class that is being inherited is called a superclass or the parent class, and the class

Files containing Python codes are referred to as python modulesThis code can either be classes,functions or variables and saves the programmer time by providing the predefined functionalities when needed.It is a file with .py extension containing an executable code.

Commonly used built modules are listed below:

• os
• sys
• data time

• Memory in Python is managed by Python private heap space. All Python objects and data structures are located in a private heap. This private heap is taken care of by Python Interpreter itself, and a programmer doesn’t have access to this private heap.
• Python memory manager takes care of the

PEP in Python stands for Python Enhancement Proposal.It is a set of rules that specify how to write and design Python code for maximum readability.