Understanding Python Data Types: Day 9 of Your Learning Journey

Introduction:

Welcome to Day 9 of my Python journey!

Today, I ventured into the realm of Data Type .

These concepts are essential for efficient data storage.

Data Type :

.Data Type represent the type of data present inside a variable.

. In Python we are not required to specify the type explicitly. Based on value provided,the type will be assigned automatically.Hence Python is Dynamically Typed Language.

Python contains the following inbuilt data types

1.Number

i. int

a. decimal

b. binary

c. octal

d. hex decimal

ii. float

iii.complex

2.bool

3.None

4.str

5.bytes

6.bytearray

7.range

8.list

9.tuple

10.set

11.frozenset

12.dict

Note :

Syntax to create object in C++

class_name obj_name ;

Syntax to create object in Python:

obj_name = class_name

How to declare data type in general way :

Ex:

x= 10

print (type (x), x ) #int

x= 10.6

print (type (x), x ) #float

x= 5+7j

print (type (x), x ) #complex

x= None

print (type (x), x ) #None

x= True

print (type (x), x ) #bool

x= []

print (type (x), x ) #list

x= ()

print (type (x), x ) #tuple

x= 10,

print (type (x), x ) #tuple

x= {}

print (type (x), x ) #dict

x= {()}

print (type (x), x ) #set

how to declare using class

obj = int ()

print (type (obj), obj)

obj =float ()

print (type (obj), obj)

obj =complex ()

print (type (obj), obj)

obj =bool ()

print (type (obj), obj)

obj =None

print (type (obj), obj)

obj = str ()

print (type (obj), obj)

obj = bytes ()

print (type (obj), obj)

obj = bytearray ()

print (type (obj), obj)

obj = range (10)

print (type (obj), obj)

obj = list ()

print (type (obj), obj)

obj = tuple ()

print (type (obj), obj)

obj = dict ()

print (type (obj), obj)

obj = set ()

print (type (obj), obj)

obj = frozenset ()

print (type (obj), obj)

Int class

We can represent int values in the following ways

1. Decimal form

2. Binary form

3. Octal form

4. Hexa decimal form

1. Decimal form(base-10):

It is the default number system in Python

The allowed digits are: 0 to 9

Example:

a =10

type (a)

<class 'int'>

a

10

2. Binary form(Base-2):

The allowed digits are : 0 & 1

Literal value should be prefixed with 0b or 0B

Eg:

a = 0B1111

type (a)

<class 'int'>

a

15

a =0B123 #Error

a=b111 #Error

3. Octal Form(Base-8):

The allowed digits are : 0 to 7

Literal value should be prefixed with 0o or 0O.

Example:

a=0o123

type (a)

<class 'int'>

a

83

a=0o786 #Error

4. Hexa Decimal Form(Base-16):

The allowed digits are : 0 to 9, a-f (both lower and upper cases are allowed)

Literal value should be prefixed with 0x or 0X

Example:

a =0XFACE

type (a)

<class 'int'>

a

64206

a=0XBeef

type (a)

<class 'int'>

a

48879

a =0XBeer #Error

x = 10

print (type (x), x )

x= 0B10

print (type (x), x )

#x= 0b1012 Error

x= 0o10

print (type (x), x )

#x= 0o1018 Error

x = 0xf

print (type (x), x )

#x= 0x12AG #Error

print (type (x), x )

Challenges:

1. Understanding data types.

2. Handling coding errors.

   Resources:

   1. Official Python Documentation: Data types.

   2. W3Schools' Python Tutorial: Data types

   3. Scaler's Python Course: Data Types

Goals for Tomorrow:

1. Explore something more about data types.

2. Learn about exceptions.

Conclusion:

Day 9 was a success!

Data types are now under my belt.

What are your views on data types ? Share in the comments below.

Connect with me:

LinkedIn: [ https://www.linkedin.com/in/archana-prusty-4aa0b827a/ ]

GitHub: [ https://github.com/p-archana1 ]

Join the conversation:

Share your own learning experiences or ask questions in the comments.

Next Post:

Day 10: basic data types

Happy learning!

THANK YOU!!