What are Data structures in Python? | List, Dictionary, Tuple Explained | Edureka
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The document provides an overview of data structures, explaining their importance for efficient organization, storage, and management of data. It distinguishes between built-in data structures in Python such as lists, dictionaries, tuples, and sets, and user-defined structures like arrays, stacks, queues, linked lists, trees, and graphs. Each data structure is briefly described with its properties and operational principles.
What are Data structures in Python? | List, Dictionary, Tuple Explained | Edureka
- 1. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
- 2. • What are Data Structures? • Why are Data Structures needed? • Types of Data Structures in Python • Built-In Data Structures ✓ Lists ✓ Dictionary ✓ Tuple ✓ Sets • User-Defined Data Structure ✓ Array ✓ Stack ✓ Queue ✓ Linked List ✓ Tree ✓ Graph www.edureka.co www.edureka.co/python
- 4. What are Data Structures? www.edureka.co/python Open Source OOPS Large Standard Library Easy to Learn Data Structures are used to organize, store and manage data for efficient access and modification
- 6. Why are Data Structures needed? www.edureka.co/python • Imagine your workspace set according to your needs • Helps you work faster because it is imprinted in your mind • Change in workspace leads to increase in time to access your requirement • Same goes for data, as it needs to be stored efficiently which results in better access and modification
- 7. Types of Data Structures in Python www.edureka.co/python
- 8. Types of Data Structures in Python www.edureka.co/python Data Structures in Python User-Defined Data Structures Built-in Data Structures List Dictionary Set Tuple Stack Queue LinkedList Tree HashMap Graph
- 10. Built-In Data Structures www.edureka.co/python Large Standard Library Tuples Dictionary Sets Lists
- 11. Built-In Data Structures www.edureka.co/python Open Source Large Standard Library Lists Tuples Dictionary Sets • Lists can have heterogenous data types in them • Lists are mutable
- 12. Built-In Data Structures www.edureka.co/python Open Source Large Standard Library Lists Tuples Dictionary Sets • Same as lists but not mutable • Faster than lists
- 13. Built-In Data Structures www.edureka.co/python Open Source Large Standard Library Lists Tuples Dictionary Sets • Hold key, value pairs • Dictionaries are mutable
- 14. Built-In Data Structures www.edureka.co/python Open Source Large Standard Library Lists Tuples Dictionary Sets • Un-ordered collection of unique elements • Sets are mutable
- 16. User-Defined Data Structures www.edureka.co/python Stack Trees Queues HashMaps Linked List Graphs
- 17. User-Defined Data Structures www.edureka.co/python Arrays 12 1 56 13 134 0 1 2 3 4 1.2 1.0 5.6 1.3 13.4 0 1 2 3 4 • Arrays are used to store data of just one type • They have index which is used to access the data accordingly
- 18. User-Defined Data Structures www.edureka.co/python Stack 1 2 3 • Stacks are made from arrays • Stacks follow the LIFO principle • They have a pointer called TOP which is to track the top of the element TOP
- 19. User-Defined Data Structures www.edureka.co/python Push 1 2 3 • This is the push operation where data is added into the stack TOP
- 20. User-Defined Data Structures www.edureka.co/python 1 2 3 TOP • This is the push operation where data is added into the stack Push
- 21. User-Defined Data Structures www.edureka.co/python 1 2 3TOP • This is the push operation where data is added into the stack Push
- 22. User-Defined Data Structures www.edureka.co/python 1 2 3 • This is the pop operation where the data is deleted from the stack TOP Pop
- 23. Queues User-Defined Data Structures www.edureka.co/python • Queues are made from arrays • Queues follow the FIFO principle • Operations can be performed from the front or back of the queue 1 2 3 HEADTAIL
- 24. En-Queue User-Defined Data Structures www.edureka.co/python • En-Queue operation is adding elements into the queue 1 2 3 HEADTAIL
- 25. User-Defined Data Structures www.edureka.co/python 1 2 3 • En-Queue operation is adding elements into the queue HEAD TAIL En-Queue
- 26. User-Defined Data Structures www.edureka.co/python 1 2 3 • En-Queue operation is adding elements into the queue HEAD TAIL En-Queue
- 27. User-Defined Data Structures www.edureka.co/python • De-Queue operation is to delete elements from the queue 1 2 3 HEAD TAIL De-Queue
- 28. Trees User-Defined Data Structures www.edureka.co/python • Trees are helpful to define hierarchy • The tree starts with the root node and go further down • The last nodes are called as the child nodes Root 1 3 1 2 53
- 29. Linked List User-Defined Data Structures www.edureka.co/python • Linked Lists are made up of two fields, the data and the next field • The data field holds data and the next field points to the next node • The first node is called as the head Head Data NEXTData NEXT Data NEXT End
- 30. Graphs User-Defined Data Structures www.edureka.co/python • Graphs closely represent real world geographical locations • They have vertices and edges • Can be used to find shortest path and help in finding least cost