Data Structure in Python  –

Python has been used worldwide for different fields such as making websites, artificial Intelligence, Data analysis, Machine learning and much more. But to make all of this possible, data plays a very important role which means that this data should be stored efficiently and the access to it must be timely.

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What is Data structure?

Organizing, managing and storing data is important as it enables easier access and efficient modifications. Data Structures allows you to organize your data in such a way that enables you to store collections of data, relate them and perform operations on them accordingly.

Types of Data structure in Python –

1. Built-in-Data structure
2. In Built Data Structure

Built-in-Data structure-

1. List
2. Tuple
3. Dictionary
4. Set

List :

• List is collection of multiple values stored in single variable
• List is ordered, Allows duplictes in list
• List is mutable, you can store the various datatypes in list
• List is created by [  ]

Below are the empty list

l1 = [ ]

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Method of list

append method – store the single value in end of the list

 

l1.append(10)

print(l1)

Output- [10]

 

• Extend Method

 

l1.extend((22,33,44,55,66)) #Extend method is used to store multiple values at a time and result is store in end of the list

print(l1)

output-[10, 22, 33, 44, 55, 66]

l1.extend((100,200,300,400,5,10,15,25,35,65,75,165))

print(l1)

[10, 22, 33, 44, 55, 66, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]

 

• Insert method

 

l1.insert(1,2000) #Insert method is  store the value by specific position

print(l1)

[10, 2000, 22, 33, 44, 55, 66, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]

 

Deleting method from the list

Pop –

 

l1.pop(3) #pop method is used to remove the specified indixing

print(l1)

[10, 2000, 22, 44, 55, 66, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]

Value 33 remove from the list

 

Remove –

• l1.remove(2000) # remove method is used to remove the given value
• print(l1)
• [10, 22, 44, 55, 66, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]
• 2000 value is removed from the list

 

Del –

 

del l1[4] # del method  is used to remove the value by specified indexing

print(l1)

[10, 22, 44, 55, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]

66 value is deleted from the list

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Clear –

l1.clear()

print(l1) # clear method is used to clear the entire list and  give the empty list

[]

 

Count –

print(l1.count(55)) #count method display the specified value how many times comes in list

1

 

Index –

print(l1.index(200))# index method shows the indexing value of specified value

 

5 

 

Sort –

print(“Before sorting”,l1)

 

l1.sort() # sort the list in  asscending order and returns none 

 

print(“After sorting”,l1)

 

Before sorting [10, 22, 44, 55, 100, 200, 300, 400, 5, 10, 15, 25, 35, 65, 75, 165]

After sorting [5, 10, 10, 15, 22, 25, 35, 44, 55, 65, 75, 100, 165, 200, 300, 400]

 

 

reverse –

 

l1.reverse() # reverse the list

print(l1)

[400, 300, 200, 165, 100, 75, 65, 55, 44, 35, 25, 22, 15, 10, 10, 5]

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Author:-

Shahaji Chinchole

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