Python Data Structures

Table of contents

1. Introduction To Python Data Structures
   1. Introduction And About The Author
   2. How To Access Your Working Files
2. Choosing The Right Data Structures
   1. The Dict Type
   2. Problem Statements
   3. Terms
   4. Dictionary
   5. Map
   6. Creating A Dict
   7. Dict.Update
   8. Dict Methods
   9. Dict.Clear
   10. Dict.Copy
   11. Dict.Get
   12. Dict.Pop And Dict.Popitem
   13. Dict.Keys, Dict.Values And Dict.Items
   14. Dict.Setdefault
   15. Dict.__Missing__
   16. Dict Comprehensions
   17. Lookup Table
   18. Relation And Function
   19. __Getitem__ And __Call__
   20. Dict-Alikes
   21. Rangedict And Passthrudict
   22. Collections.Defaultdict
   23. Hash
   24. Dict Versus Object
   25. Semantics
   26. Attribute Dictionary
   27. Vigenere Cipher
   28. Concordance
3. Interacting With The Set Type
   1. Problem Statement
   2. The Set Type
   3. Type Constructing
   4. Indexing
   5. Iterate And Union
   6. Remove And Discard
   7. Comprehension
   8. Example And Valid Straights
   9. Best_Hand
   10. Helper Functions
   11. Example Hands
   12. Displaying Example Hands
   13. Additional Methods
   14. Prime Number Generator
4. List And Tuple Types
   1. Introduction To List And Tuple Type
   2. Problem Statement
   3. The List Type
   4. The Tuple Type
   5. Creating A List
   6. Creating A Tuple
   7. Comprehension Syntax
   8. Getitem
   9. Setitem
   10. Setitem - Corner Case
   11. Delitem
   12. Iteration
   13. Unpacking
   14. Addition And Multiplication
   15. Argument Unpacking
   16. .Count And .Index
   17. List Methods
   18. Semantics
   19. Collections.Namedtuple
   20. Collections.Deque - Stacks, Queues And Deques
   21. Collections.Deque - More Stacks
   22. Heapq Module
5. Conclusion
   1. Wrap-Up