The @property is a built-in decorator for the property() function in Python. It is used to give “special” functionality to certain methods to make them act as getters, setters, or deleters when we define properties in a class. Now that you are familiar with decorators, let’s see a real scenario of the use of @property!

Property, chattels, effects, estate, goods refer to what is owned.

Property is a term describing anything that a person or a business has legal title over, affording owners certain enforceable rights over said items. But properties can simultaneously be liabilities in some situations.

These properties represent the highest quality buildings in their market and area. They are generally newer properties built within the last 15 years with top amenities, high-income earning tenants and low vacancy rates. Class A buildings are well-located in the market and are typically professionally managed.

In Python, the main purpose of Property() function is to create property of a class. Return: Returns a property attribute from the given getter, setter and deleter. Note: If no arguments are given, property() method returns a base property attribute that doesn’t contain any getter, setter or deleter.

A double underscore prefix causes the Python interpreter to rewrite the attribute name in order to avoid naming conflicts in subclasses. This is also called name mangling—the interpreter changes the name of the variable in a way that makes it harder to create collisions when the class is extended later.

The __name__ variable (two underscores before and after) is a special Python variable. In Python, you can import that script as a module in another script. Thanks to this special variable, you can decide whether you want to run the script.

Use In Interpreter Python automatically stores the value of the last expression in the interpreter to a particular variable called “_.” You can also assign these value to another variable if you want.

An underscore, also called an underline, low line, or low dash, is a line drawn under a segment of text. The underscore character, _, originally appeared on the typewriter and was primarily used to emphasise words as in the proofreader’s convention.

In Python != is defined as not equal to operator. It returns True if operands on either side are not equal to each other, and returns False if they are equal. Whereas is not operator checks whether id() of two objects is same or not.

You can use “!= ” and “is not” for not equal operation in Python. The python != Python is dynamically, but strongly typed , and other statically typed languages would complain about comparing different types .

Basic Data Types in Python

• Integers.
• Floating-Point Numbers.
• Complex Numbers.
• Strings. Escape Sequences in Strings. Raw Strings. Triple-Quoted Strings.
• Boolean Type, Boolean Context, and “Truthiness”
• Built-In Functions. Math. Type Conversion. Iterables and Iterators. Composite Data Type. Classes, Attributes, and Inheritance. Input/Output.
• Conclusion.

Some are used to store numbers, some are used to store text and some are used for much more complicated types of data ….The data types to know are:

• String (or str or text).
• Character (or char).
• Integer (or int).
• Float (or Real).
• Boolean (or bool).

Python Data Types

• Numeric data types: int, float, complex.
• String data types: str.
• Sequence types: list, tuple, range.
• Binary types: bytes, bytearray, memoryview.
• Mapping data type: dict.
• Boolean type: bool.
• Set data types: set, frozenset. Python Numeric Data Type. Python numeric data type is used to hold numeric values like;

Data types are divided into two groups:

• Primitive data types – includes byte , short , int , long , float , double , boolean and char.
• Non-primitive data types – such as String, Arrays and Classes (you will learn more about these in a later chapter)

Char is a C++ data type designed for the storage of letters. Char is an acronym for a character. It is an integral data type, meaning the value is stored as an integer. A char takes a memory size of 1 byte. It also stores a single character.

Data Types and Sizes

There are six numeric types four integer and two floating point: byte 1 byte -128 to 127. short 2 bytes -32,768 to 32,767. int 4 bytes -2,to 2,

int , long , ptr , and off_t are all 32 bits (4 bytes) in size. int is 32 bits in size. long , ptr , and off_t are all 64 bits (8 bytes) in size.

No, C99 standard says that it will have at least 64 bits. You could use int64_t type if you need 64bits always assuming you have stdint.