Author: SUNNY BHAVEEN CHANDRA

For more information -

• [1] Python notes- https://c17hawke.github.io/Python/

• [2] Python YouTube Playlist- https://youtube.com/playlist?list=PLrdaCCBhU_hnxIzB7EJlY-pfYOMGRycAK

Data-types 📊¶

• In programming, the concept of data type is crucial. A data type defines the kind of value a variable can hold and the operations that can be performed on it.
• Python, like many other programming languages, has several built-in data types that are used to handle common data such as
  • numbers,
  • text, and
  • collections of items.
• These data types are the building blocks of any program and understanding them is essential for writing efficient and effective code.

Python has several built-in data types, which fall into the following categories:

Category	Common Data Types	Description
Text	str	text
Numeric	int, float, complex	numbers
Sequence	list, tuple, range	collection of items
Mapping	dict	collection of items
Set	set	collection of items
Boolean	bool	boolean
None	NoneType	NA/NULL type

Let's Identify the type of different variables 🔍-¶

by using inbuilt type() function:

---

Text category 📃¶

Category	Common Data Types	Description
Text	str	text

string data-type¶

• Anything which is inside a double or single quotes will be treated as string in python
• examples can be (in a double or single quotes)
  • a single character,
  • a word,
  • a sentence, or
  • a number,

In [1]:

name = "Sunny"
print(name)
print(type(name))

name = "Sunny" print(name) print(type(name))

Sunny
<class 'str'>

In [2]:

sentence = "Sunny is a life long student"
print(sentence)
print(type(sentence))

sentence = "Sunny is a life long student" print(sentence) print(type(sentence))

Sunny is a life long student
<class 'str'>

In [3]:

sentence = 'single quote example'
print(sentence)
print(type(sentence))

sentence = 'single quote example' print(sentence) print(type(sentence))

single quote example
<class 'str'>

In [4]:

character = "S"
print(character)
print(type(character))

character = "S" print(character) print(type(character))

S
<class 'str'>

In [5]:

x = "1234"
print(x)
print(type(x))

x = "1234" print(x) print(type(x))

1234
<class 'str'>

In [6]:

x = "12.34"
print(x)
print(type(x))

x = "12.34" print(x) print(type(x))

12.34
<class 'str'>

---

Numeric category 🔢¶

Category	Common Data Types	Description
Numeric	int, float, complex	numbers

int data type¶

• int represents a pure integers it can be negative or positive integers

In [7]:

x = 1234
print(x)
print(type(x))

x = 1234 print(x) print(type(x))

1234
<class 'int'>

In [8]:

x = -1234
print(x)
print(type(x))

x = -1234 print(x) print(type(x))

-1234
<class 'int'>

In [9]:

x = 0
print(x)
print(type(x))

x = 0 print(x) print(type(x))

0
<class 'int'>

float data type¶

• float represents a pure decimal numbers it can be positive or negative decimal numbers

In [10]:

x = 12.34
print(x)
print(type(x))

x = 12.34 print(x) print(type(x))

12.34
<class 'float'>

In [11]:

x = -12.34
print(x)
print(type(x))

x = -12.34 print(x) print(type(x))

-12.34
<class 'float'>

In [12]:

x = 0.0
print(x)
print(type(x))

x = 0.0 print(x) print(type(x))

0.0
<class 'float'>

complex data-type¶

• complex represents a complex numbers

Reference

In [13]:

z = 1 + 2j
print(z)
print(type(z))
print(f"real part of {z} => {z.real}")
print(f"imaginary part of {z} => {z.imag}")

z = 1 + 2j print(z) print(type(z)) print(f"real part of {z} => {z.real}") print(f"imaginary part of {z} => {z.imag}")

(1+2j)
<class 'complex'>
real part of (1+2j) => 1.0
imaginary part of (1+2j) => 2.0

---

Sequence category 📚¶

Category	Common Data Types	Description
Sequence	list, tuple, range	collection of items

list data-type¶

In [14]:

x = [1,2,3,4,5,6,7,8,9,10]
print(x)
print(type(x))

x = [1,2,3,4,5,6,7,8,9,10] print(x) print(type(x))

[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
<class 'list'>

In [15]:

x = ["item1", "item2", "item3"]
print(type(x))

x = ["item1", "item2", "item3"] print(type(x))

<class 'list'>

tuple data-type¶

In [16]:

x = (1,2,3,4,5,6,7,8,9,10)
print(x)
print(type(x))

x = (1,2,3,4,5,6,7,8,9,10) print(x) print(type(x))

In [17]:

x = ("item1", "item2", "item3")
print(type(x))

x = ("item1", "item2", "item3") print(type(x))

<class 'tuple'>

---

Mapping category 🗺️¶

Category	Common Data Types	Description
Mapping	dict	collection of items

dict data-type¶

In [18]:

x = {
    "key": "value",
    "key_1": "value_1",
}

print(type(x))

x = { "key": "value", "key_1": "value_1", } print(type(x))

<class 'dict'>

---

Set category 🎲¶

Category	Common Data Types	Description
Set	set	collection of items

set data-type¶

In [19]:

x = {1,2,3,4,5,6,7,8,9,10}
print(x)
print(type(x))

x = {1,2,3,4,5,6,7,8,9,9,9,9,9,9,10}
print(x)
print(type(x))

x = {1,2,3,4,5,6,7,8,9,10} print(x) print(type(x)) x = {1,2,3,4,5,6,7,8,9,9,9,9,9,9,10} print(x) print(type(x))

{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
<class 'set'>
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
<class 'set'>

---

Boolean category 💡¶

Category	Common Data Types	Description
Boolean	bool	boolean

bool data-type¶

In [20]:

x = True
print(x)
print(type(x))

x = True print(x) print(type(x))

True
<class 'bool'>

In [21]:

x = False
print(x)
print(type(x))

x = False print(x) print(type(x))

False
<class 'bool'>

---

None/Null category 🕳️¶

Category	Common Data Types	Description
None	NoneType	NA/NULL type

NoneType data-type¶

In [22]:

x = None
print(x)
print(type(x))

x = None print(x) print(type(x))

None
<class 'NoneType'>

Example from School records or marksheets 🏫¶

In [23]:

name_of_student = "Sunny"
print(name_of_student)
print(type(name_of_student))

name_of_student = "Sunny" print(name_of_student) print(type(name_of_student))

Sunny
<class 'str'>

In [24]:

roll_no = 12
print(roll_no)
print(type(roll_no))

roll_no = 12 print(roll_no) print(type(roll_no))

12
<class 'int'>

In [25]:

percentage_of_marks = 75.2
print(percentage_of_marks)
print(type(percentage_of_marks))

percentage_of_marks = 75.2 print(percentage_of_marks) print(type(percentage_of_marks))

75.2
<class 'float'>

In [26]:

student_1_data = {
    "name_of_student": "Sunny",
    "roll_no": 12,
    "percentage_of_marks": 75.2
}
print(student_1_data)
print(type(student_1_data))

student_1_data = { "name_of_student": "Sunny", "roll_no": 12, "percentage_of_marks": 75.2 } print(student_1_data) print(type(student_1_data))

{'name_of_student': 'Sunny', 'roll_no': 12, 'percentage_of_marks': 75.2}
<class 'dict'>

In [27]:

list_of_subjects = [
    "English", 
    "Maths", 
    "Science", 
    "Social Science", 
    "Hindi"
    ]
print(list_of_subjects)
print(type(list_of_subjects))

list_of_subjects = [ "English", "Maths", "Science", "Social Science", "Hindi" ] print(list_of_subjects) print(type(list_of_subjects))

['English', 'Maths', 'Science', 'Social Science', 'Hindi']
<class 'list'>

In [28]:

passing_status = False
print(passing_status)
print(type(passing_status))

passing_status = False print(passing_status) print(type(passing_status))

False
<class 'bool'>

In [29]:

practical_marks_in_English = None
print(practical_marks_in_English)
print(type(practical_marks_in_English))

practical_marks_in_English = None print(practical_marks_in_English) print(type(practical_marks_in_English))

None
<class 'NoneType'>

Example from Amazon Ecommerce website 🛒-¶

In [30]:

name_of_product = "Hands on Machine Learning"
cost_of_product = 3000
one_day_delivery = False
rating_of_product = 4.7
reviews_of_product = [
    "Book is good",
    "Book is average",
    "Book is excellent"
]

product_info = {
    "name_of_product": "Hands on Machine Learning",
    "cost_of_product": 3000,
    "one_day_delivery": False,
    "rating_of_product": 4.7,
    "reviews_of_product": [
                        "Book is good",
                        "Book is average",
                        "Book is excellent"
                    ]
}

name_of_product = "Hands on Machine Learning" cost_of_product = 3000 one_day_delivery = False rating_of_product = 4.7 reviews_of_product = [ "Book is good", "Book is average", "Book is excellent" ] product_info = { "name_of_product": "Hands on Machine Learning", "cost_of_product": 3000, "one_day_delivery": False, "rating_of_product": 4.7, "reviews_of_product": [ "Book is good", "Book is average", "Book is excellent" ] }

ASSIGNMENT: Find out the data-type of each variable above as an assignment¶