1.
Data Structures in
Python

2.
Data Structure
 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.
 Philosophy
“Clever” ways to organize information in order to enable efficient
computation

3.
Goals
 what the tools are for storing and processing common data
types
 which tools are appropriate for which need
 So that make good design choices as a programmer
 Another Goal is it must be rich in structure to reflect the actual relationship
of data in real world .The structure should be simple enough for efficient
processing of data .

4.
Data

5.
Built-in Data Structure
 Understand Data
 Understand the data according to its Nature.
 Map the data with available structure.
 choosing the right data structure for your data

6.
Three W’s
Why we are using data?
What we are going to do with the data?
Where we are sending data i.e location or container?

7.
Python’s Data structure
Data Structure
Built-in Data
Structure
List Tuples
User Defined
Data Structure
Dictionary Set
Hash Map
Graph
Linked List
Tree
Stack
Queue

8.
Built-in Data structure
List
Dictionary
Tuple
Set

9.
Lists
 This Data structure use for storing and accesing objects which belongs in
a specific sequence.
 Lists are used to store multiple items in a single variable
 Lists in Python are linear containers used for storing data of various Data
Types. The ability to store a variety of data is what makes Lists a very
unique and vital Data Structure in Python.

10.
Examples
 city_list=['Newyork','chicago', 'Los Angeles', 'Houston', 'Philadelphia',
'Dallas']
 squares = [‘1’, ‘4, 9’, ’16’]
 List with Mixed Data types
 My_list = [‘1’ ,”Hello”, ‘3.5’]

11.
Example
 data = [{"id": ("1", "2", "3"), "name": ("Dannie", "Williams"),
"department": ("HR", "IT")},
{"id": ("4", "5", "6"), "name": ("jhon", "smith"),
"department": ("HR", "IT")},
{"id": ("7", "8", "9"), "name": ("Allen", "polard"),
"department": ("finance", "IT")},
{"id": ("10", "11", "12"), "name": ("Reema", "Ferguson"),
"department": ("business", "IT")},
{"id": ("13", "14", "15"), "name": ("patrick", "Donald"),
"department": ("business", "IT")}]

12.
List of Tweets

13.
Features of Lists
 Lists are ordered.
 Lists can contain any arbitrary objects.
 List elements can be accessed by index.
 Lists are mutable.
 Lists are dynamic.

14.
Lists
 Syntax
 List_variables = [ val1,val2,val3…….]
 My_list = [1,2,3]

15.
List Indices
 my_list =[1,2,3,4,5,6,7,8,9,10]

16.
List Methods
 Append()
 Count
 Index()
 Insert()
 Pop()
 Remove()
 Reverse()
 Sort()
 Extend()
 If you want to remember these methods (ASPIRER)