What are Numbers,Basic Arithmetic Operations,classic division and floor division and Object Assignment in Python with Syntax and Examples.
In this tutorial we are going to learn about Numbers in Python with few examples.
We’ll learn about the following topics:
 Types of Numbers in Python
 Basic Arithmetic
 Differences between classic division and floor division
 Object Assignment in Python
Types of Numbers
Python has various “types” of numbers . We’ll mainly focus on integers and floating point numbers. Integers are just whole numbers, positive or negative.
For example: 2 and 2 are examples of integers.
Floating point numbers in Python are notable because they have a decimal point in them, or use an exponential (e) to define the number.
For example: 2.0 and 2.1 are examples of floating point numbers. 4E2 (4 times 10 to the power of 2) is also an example of a floating point number in Python.
Throughout this tutorials we will be mainly working with integers or simple float number types.
Here is a table of the two main types we will spend most of our time working with some examples:
Examples:

Number  1,2,5,1000
 “Type”  Integers

Number  1.2,0.5,2e2,3E2
 “Type”  Floatingpoint numbers
Basic Arthematic
 Addition  2+1=3
 Subraction  42=2
 Multiplication  2*3
 Division  4/2
 Floor Division  7//2(The // operator (two forward slashes) truncates the decimal without rounding, and returns an integer result).
 Modulo  4%8It gives the remainder of division.
 powers  2**4
Variables
Now that we’ve seen how to use numbers in Python as a calculator let’s see how we can assign names and create variables. We use a single equals sign to assign labels to variables. Let’s see a few examples of how we can do this.
Example: a=10,name=john ,x=20 e.t.c;
The names you use when creating these labels need to follow a few rules:
 Names can not start with a number.
 There can be no spaces in the name, use _ instead.
 Can’t use any of these symbols :’”,<>/?()[email protected]#$%^&*~+
 It’s considered best practice (PEP8) that names are lowercase.
 Avoid using the characters ‘l’ (lowercase letter el), ‘O’ (uppercase letter oh), or ‘I’ (uppercase letter eye) as single character variable names.
 Avoid using words that have special meaning in Python like “list” and “str”
Dynamic Typing
Python uses dynamic typing, meaning you can reassign variables to different data types. This makes Python very flexible in assigning data types; it differs from other languages that are statically typed.
Example:
myfriends=2
You can reassign it as,
myfriends=[‘sammy’,’tom’]
Pros and Cons of Dynamic Typing

Pros of Dynamic Typing
 very easy to work with
 faster development time

Cons of Dynamic Typing
 may result in unexpected bugs!
 you need to be aware of type()
Determining variable type with type():
You can check what type of object is assigned to a variable using Python’s builtin type() function.
Common data types include:
 int (for integer)
 float
 str (for string)
 list
 tuple
 dict (for dictionary)
 set
 bool (for Boolean True/False)
Example:
type(1)=int
Type(1.4)=float
Example for variable assigning:
Exmyincome=200
taxrate=0.3
mytaxes=myincome*tax_rate